Category Archives: Artificial Intelligence

Artificial intelligence for greater sustainability and quality of life in cities: GREENTECH FESTIVAL and Audi give GREEN FUTURE Award to Zencity -…

The GREENTECH FESTIVAL and Audi as one of the founding partners of the sustainability platform created by Sven Krger, Marco Voigt, and Nico Rosberg awarded the GREEN FUTURE award together for the first time as part of the world premiere of the Audie-tronGT. The prize is part of the GREEN AWARDS of the festival and distinguishes projects and persons that promote environmentally compatible urbanization while making an important contribution to improving the quality of life and urban infrastructures at the same time. The award went to Tel Avivbased start-up Zencity, which developed an algorithm that collects and analyzes social media posts and local news from cities.

The UN already predicted that more than two thirds of people will live in cities by the middle of this century in its World Urbanization Prospects study in 2018. Already in 2030, the United Nations expect that there will be 43 megacities worldwide. Making life in cities as environmentally friendly and socially just as possible is therefore one of the major tasks of this decade. By initiating an award precisely for this endeavor, the GREENTECH FESTIVAL and AUDIAG aim to draw attention to this challenge and promote innovative solutions, support founders in the early stages of their projects, and encourage public dialogue.

Nominees included projects from the fields of energy, water, mobility, construction and living, digitalization, safety and security, and resources. The jury was comprised of representatives of the WWF, Deutsche Bahn, the German Institute for Economic Research (DIW), and the fashion label of rap artist Marteria Green Berlin, who are also members of the GREEN AWARDS jury of the sustainability platform. The jury evaluated the projects in terms of their contribution to environmental protection, scalability, technical innovation, and future viability. The GREENFUTURE Award is a special prize that is part of the GREEN AWARDS of the festival and highlights the opportunities of sustainable technologies for the cities of the future.

As part of the digital world premiere of the latest electric car from Audi, the Audie-tronG, two of the founders of the GREENTECH FESTIVAL, Nico Rosberg and Marco Voigt, CEO Judith Khn and Henrik Wenders, Senior Vice President Audi Brand, handed the award to Assaf Frances, Director Urban Policy & Partnerships of Zencity in a live ceremony. Nico Rosberg: Time is a critical factor when it comes to climate change, and we need to act now. Start-ups like Zencity provide us with the necessary tools. We need technologies like Zencitys AI to live up to our responsibility and put a stop to the destruction of our environment. With this special award, we are demonstrating what todays technology is already capable of when it comes to shaping our near future in urban areas that is sustainable and offers quality of life. We made a conscious decision to award the GREEN FUTURE Award in a different setting today, so as to reach as many new people as possible and spark their enthusiasm for a sustainable lifestyle. Henrik Wenders, SVP Audi Brand: Audi stands forVorsprung our aim is to use technology to contribute to a sustainable future and to shape urban mobility in such a way that the main focus is on the people. As an active partner of the GREENTECH FESTIVAL, we want to provide real added value and do our part to find answers to the pressing questions of the future.

Zencity was developed by Eyal Feder-Levy and Ido Ivri as an intuitive AI tool for local administrations. It uses an algorithm to find social media posts, websites, local news, and other online sources that contain information referring to the cities in which the people making these posts live. Advanced artificial intelligence and machine learning allow millions of user data points from the defined area, such as within a citys limits, to be processed and to generate informative findings on this basis. Customers of Zencity include municipal authorities that can use this data as a basis for understanding the needs of their inhabitants and making them a reality. This method conserves resources and replaces expensive and time-consuming face-to-face surveys, citizen hotlines, and committee meetings. This way, the tool helps all inhabitants of a city to gain the attention of political decision-makers and does so in an automated way, without complex reporting processes or bureaucratic obstacles. Zencity is already in use in 160cities, including Chicago, Ottawa, and Tel Aviv.

Other nominees included Strabag and its CIAir project and Sensoneo with its solution for intelligent waste management. The clean asphalt from Strabag reduces noise emissions by up to 35percent as compared to conventional asphalt. The gritting material used for the asphalt consists of ultra-high performance concrete (UHPC) mixed with titanium dioxide. When exposed to sunlight, it breaks down nitrogen oxides bound in the air and converts them into harmless nitrates. The material is incorporated directly into the hot asphalt surface. Sensoneo offers intelligent waste disposal solutions for cities and companies. They range from plant tracking forcontainers and all the way to an automated on-demand solution for more efficient collection planning. This way, three solutions for smart waste management are combined: asset management, waste monitoring, and route planning.

SOURCE: Audi

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Artificial intelligence for greater sustainability and quality of life in cities: GREENTECH FESTIVAL and Audi give GREEN FUTURE Award to Zencity -...

AI reading list: 8 interesting books about artificial intelligence to check out – TechRepublic

These eight books about artificial intelligence cover a range of topics, including ethical issues, how AI is affecting the job market, and how organizations can use AI to gain a competitive advantage.

Artificial intelligence (AI) is an ever-evolving technology. With several different uses, it's easy to understand why it's being implemented more and more frequently. These titles answer common questions about AI, discuss what current AI technologies businesses are using, how humans can lose control over AI, and more.

T-Minus AI: Humanity's Countdown to Artificial Intelligence and the New Pursuit of Global Power

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In T-Minus AI, author, national expert, and the US Air Force's first Chairperson for Artificial Intelligence Michael Kanaan explains a human-oriented perspective of AI. He offers his view on our history of innovation to illustrate what we should all know about modern computing, AI, and machine learning. Additionally, Kanaan discusses the global implications of AI by illuminating the cultural and national vulnerabilities already present as well as future pressing issues.

The Alignment Problem: Machine Learning and Human Values

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The "alignment problem," according to researchers, occurs when the tech systems that humans attempt to teach don't do what is wanted or expected. Best-selling author Brian Christian discusses the alignment problem's "first-responders," and their plans to solve the problem before it is out of human hands. Using a blend of history and on-the-ground reporting, Christian follows the growth of machine learning in the field and examines our current technology and culture.

Rise of the Robots: Technology and the Threat of a Jobless Future

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With the possibility of AI making jobs like paralegals, journalists, and even computer programmers obsolete, author Martin Ford looks at the future of the job market and how it will continue to transform. Rise of the Robots helps us understand how employment and society will have to adapt to the changing market.

Artificial Intelligence: A Guide for Thinking Humans

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In Artificial Intelligence, author Melanie Mitchell asks urgent questions concerning AI today: How intelligent are the best AI programs? How do they work? What can they actually do, and when do they fail? How humanlike do we expect them to become, and how soon do we need to worry about them surpassing us? Mitchell also covers the dominant models of modern AI and machine learning, cutting-edge AI programs, and human investors in AI.

AI Ethics (The MIT Press Essential Knowledge series)

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AI Ethics discusses the major ethical issues artificial intelligence raises and addresses several concrete questions. Author Mark Coeckelbergh uses narratives, relevant philosophical discussions, and describes different approaches to machine learning and data science. AI Ethics takes a look at privacy concerns, responsibility and the delegation of decision-making, transparency and bias as it arises at all stages of data science processes, and much more.

The AI Advantage: How to Put the Artificial Intelligence Revolution to Work (Management on the Cutting Edge)

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In The AI Advantage,Thomas Davenport offers a practical guide to using AI in a business setting. Davenport not only explains what AI technologies are available, but also how companies can use them to gain a competitive advantage.

The Big Nine: How the Tech Titans and Their Thinking Machines Could Warp Humanity

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In her book, author Amy Webb looks at how the foundations of AI are broken--all the way from the people working on the system to the technology itself. Webb suggests that the big nine corporations (Amazon, Google, Facebook, Tencent, Baidu, Alibaba, Microsoft, IBM, and Apple), "may be inadvertently building and enabling vast arrays of intelligent systems that don't share our motivations, desires, or hopes for the future of humanity."

Artificial Intelligence: 101 Things You Must Know Today About Our Future

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Artificial Intelligence: 101 Things You Must Know Today About Our Futurecontains many timely topics related to AI, including: Self-driving cars, robots, chatbots, as well as how AI will impact the job market, business processes, and entire industries. As the title suggests, readers can learn the answers to 101 questions about artificial intelligence, and have access to a large number of resources, ideas, and tips.

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AI reading list: 8 interesting books about artificial intelligence to check out - TechRepublic

Artificial intelligence must not be allowed to replace the imperfection of human empathy – The Conversation UK

At the heart of the development of AI appears to be a search for perfection. And it could be just as dangerous to humanity as the one that came from philosophical and pseudoscientific ideas of the 19th and early 20th centuries and led to the horrors of colonialism, world war and the Holocaust. Instead of a human ruling master race, we could end up with a machine one.

If this seems extreme, consider the anti-human perfectionism that is already central to the labour market. Here, AI technology is the next step in the premise of maximum productivity that replaced individual craftmanship with the factory production line. These massive changes in productivity and the way we work created opportunities and threats that are now set to be compounded by a fourth industrial revolution in which AI further replaces human workers.

Several recent research papers predict that, within a decade, automation will replace half of the current jobs. So, at least in this transition to a new digitised economy, many people will lose their livelihoods. Even if we assume that this new industrial revolution will engender a new workforce that is able to navigate and command this data-dominated world, we will still have to face major socioeconomic problems. The disruptions will be immense and need to be scrutinised.

The ultimate aim of AI, even narrow AI which handles very specific tasks, is to outdo and perfect every human cognitive function. Eventually, machine-learning systems may well be programmed to be better than humans at everything.

What they may never develop, however, is the human touch empathy, love, hate or any of the other self-conscious emotions that make us human. Thats unless we ascribe these sentiments to them, which is what some of us are already doing with our Alexas and Siris.

The obsession with perfection and hyper-efficiency has had a profound impact on human relations, even human reproduction, as people live their lives in cloistered, virtual realities of their own making. For instance, several US and China-based companies have produced robotic dolls that are selling out fast as substitute partners.

One man in China even married his cyber-doll, while a woman in France married a robo-man, advertising her love story as a form of robo-sexuality and campaigning to legalise her marriage. Im really and totally happy, she said. Our relationship will get better and better as technology evolves. There seems to be high demand for robot wives and husbands all over the world.

In the perfectly productive world, humans would be accounted as worthless, certainly in terms of productivity but also in terms of our feeble humanity. Unless we jettison this perfectionist attitude towards life that positions productivity and material growth above sustainability and individual happiness, AI research could be another chain in the history of self-defeating human inventions.

Already we are witnessing discrimination in algorithmic calculations. Recently, a popular South Korean chatbot named Lee Luda was taken offline. She was modelled after the persona of a 20-year-old female university student and was removed from Facebook messenger after using hate speech towards LGBT people.

Meanwhile, automated weapons programmed to kill are carrying maxims such as productivity and efficiency into battle. As a result, war has become more sustainable. The proliferation of drone warfare is a very vivid example of these new forms of conflict. They create a virtual reality that is almost absent from our grasp.

But it would be comical to depict AI as an inevitable Orwellian nightmare of an army of super-intelligent Terminators whose mission is to erase the human race. Such dystopian predictions are too crude to capture the nitty gritty of artificial intelligence, and its impact on our everyday existence.

Societies can benefit from AI if it is developed with sustainable economic development and human security in mind. The confluence of power and AI which is pursuing, for example, systems of control and surveillance, should not substitute for the promise of a humanised AI that puts machine learning technology in the service of humans and not the other way around.

To that end, the AI-human interfaces that are quickly opening up in prisons, healthcare, government, social security and border control, for example, must be regulated to favour ethics and human security over institutional efficiency. The social sciences and humanities have a lot to say about such issues.

One thing to be cheerful about is the likelihood that AI will never be a substitute for human philosophy and intellectuality. To be a philosopher, after all, requires empathy, an understanding of humanity, and our innate emotions and motives. If we can programme our machines to understand such ethical standards, then AI research has the capacity to improve our lives which should be the ultimate aim of any technological advance.

But if AI research yields a new ideology centred around the notion of perfectionism and maximum productivity, then it will be a destructive force that will lead to more wars, more famines and more social and economic distress, especially for the poor. At this juncture of global history, this choice is still ours.

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Artificial intelligence must not be allowed to replace the imperfection of human empathy - The Conversation UK

SLAS Technology Special Collection on Artificial Intelligence in Process Automation Available Now – Newswise

Newswise Oak Brook, IL The February edition of SLAS Technology is a special collection of articles focused on Artificial Intelligence in Process Automation by Guest Editor Cenk ndey, Ph.D. (Amgen, Thousand Oaks, CA, USA).

This SLAS Technology special collection targets the use of artificial intelligence (AI) techniques and technologies as applied specifically to drug discovery, automated gene editing and machine learning. As AI becomes increasingly more prevalent in research, medicine and even everyday life, laboratory automation has gone beyond hardware advancements toward new levels of precision and complexity. Beyond research, AI serves as a powerful tool for clinicians diagnosing and treating patients in a medical setting. The AI advancements presented in this issue highlight the wide spectrum of medical AI breakthroughs.

This months issue of SLAS Technology also celebrates the top 10 most-cited articles within the journals history. Over the past decade, the publications priority has been to provide a platform for researchers to share technological advancements as well as a resource to continually share the impact of technology on life sciences and biomedical research.

The February issue of SLAS Discovery includes nine articles of original research in addition to the cover article.

Articles of Original Research include:

Other articles include:

Access to Februarys SLAS Technology issue is available at http://journals.sagepub.com/toc/jlad/26/1.

For more information about SLAS and its journals, visitwww.slas.org/journals. Access a behind the scenes look at the latest issue with SLAS Technology Authors Talk Tech podcast. Tune into Februarys episode by visiting https://slastechnology.buzzsprout.com/.

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SLAS (Society for Laboratory Automation and Screening) is an international professional society of academic, industry and government life sciences researchers and the developers and providers of laboratory automation technology. The SLAS mission is to bring together researchers in academia, industry and government to advance life sciences discovery and technology via education, knowledge exchange and global community building.

SLAS Discovery: Advancing the Science of Drug Discovery, 2019 Impact Factor 2.195. Editor-in-Chief Robert M. Campbell, Ph.D., Twentyeight-Seven Therapeutics, Boston, MA (USA).

SLAS Technology: Translating Life Sciences Innovation, 2019 Impact Factor 2.174. Editor-in-Chief Edward Kai-Hua Chow, Ph.D., National University of Singapore (Singapore).

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SLAS Technology Special Collection on Artificial Intelligence in Process Automation Available Now - Newswise

Artificial Intelligence in Policing Is the Focus of Encode Justice – Teen Vogue

Nijeer Parks was bewildered when he was arrested and taken into custody in February 2019. Apparently, hed been accused of shoplifting and attempting to hit a police officer with a car at a Hampton Inn, as the New York Times reported. But Woodbridge, New Jersey, where the crime had taken place, was 30 miles from his home, and Parks had neither a car nor a drivers license at the time, according to NBC News. Court documents indicated that he had no idea how hed been implicated in a crime he knew he didnt commit until he discovered that the case against him was based solely on a flawed facial-recognition match. According to a December report by the Times, this was the third-known instance of a wrongful arrest caused by facial recognition in the U.S. All three of those victims were Black men.

Algorithms failed Parks twice: First, he was mistakenly identified as the suspect; then, he was robbed of due process and jailed for 10 days at the recommendation of a risk assessment tool used to assist pretrial release decisions. These tools have been adopted by courts across the country despite evidence of racial bias and a 2018 letter signed by groups like the ACLU and NAACP cautioning against their use. At one point, Parks told the Times, he even considered pleading guilty. The case was ultimately dropped, but hes now suing the Woodbridge Police Department, the city of Woodbridge, and the prosecutors involved in his wrongful arrest.

These are the costs of algorithmic injustice. Were approaching a new reality, one in which machines are weaponized to undermine liberty and automate oppression with a pseudoscientific rubber stamp; in which opaque technology has the power to surveil, detain, and sentence, but no one seems to be held accountable for its miscalculations.

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U.S. law enforcement agencies have embraced facial recognition as an investigative aid in spite of a 2018 study from MIT that discovered software error rates ranging from 0.8% for light-skinned men to 34.7% for dark-skinned women. In majority-Black Detroit, the police chief approximated a 96% error rate in his departments software last year (though the company behind the software told Vice they dont keep statistics on the accuracy of its real-world use), but he still refuses a ban.

Artificial intelligence (AI) works by supplying a computer program with historical data so it can deduce patterns and extrapolate from those patterns to make predictions independently. But this often creates a feedback loop of discrimination. For example, so-called predictive policing tools are purported to identify future crime hot spots and optimize law enforcement resource allocation, but because training data can reflect racially disparate levels of police presence, they may merely flag Black neighborhoods irrespective of a true crime rate. This is exactly what Minority Report warned us about.

Princeton University sociologist Ruha Benjamin has sounded the alarm about a new Jim Code, a reference to the Jim Crow laws that once enforced segregation in the U.S. Others have alluded to a tech-to-prison pipeline, making it crystal clear that mass incarceration isnt going away its just being warped by a sophisticated, high-tech touch.

Thats not to say that AI cant be a force for good. It has revolutionized disease diagnosis, helped forecast natural disasters, and uncovered fake news. But the misconception that algorithms are some sort of infallible silver bullet for all our problems technochauvinism, as data journalist Meredith Broussard put it in her 2018 book has brought us to a place where AI is making high-stakes decisions that are better left to humans. And in the words of Silicon Valley congressman Ro Khanna (D-CA), the technological illiteracy of most members of Congress is embarrassing, precluding effective governance.

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Artificial Intelligence in Policing Is the Focus of Encode Justice - Teen Vogue

‘Artificial Intelligence’ Integrated PET-CT launched at Yashoda Hospitals, Hyderabad on the occasion of World Cancer Day 2021 – PR Newswire India

"This year's World Cancer Day's theme, 'I Am and I Will', is all about you and your commitment to act. The new state-of-the-art artificial intelligence integrated PET-CT scanner at Yashoda Hospital Somajiguda is one more step towards our commitment to early detection of Cancer. The new scanner is now two times faster than the old generation scanners primarily due to the advanced technology known as 'Time of Flight'. The scanner provides best quality images with reduced scanning duration and lesser radiation dose," said Dr. G. Srinivasa Rao, Director of Public Health & Family Welfare, Government of Telangana.

Yashoda Hospitals Somajiguda is well equipped with a comprehensive Nuclear Medicine set up providing services like PET-CT, Gamma camera imaging and radionuclide therapy under one roof. Apart from the newly upgraded imaging of FDG PET-CT, the department provides advanced and rare imaging like Ga-68 DOTA, Ga-68 PSMA, 18F DOPA PET-CTs, DAT imaging & WBC scans, apart from routine Gamma imaging like bone scan & renal scintigraphy.

"Yashoda Hospitals Somajiguda is one of the busiest and high volume centres of radionuclide therapies for thyroid cancer, neuroendocrine tumours, and prostate cancer. The Centre also provides rare therapies like radiosynovectomy for inflammatory joint disease. Patients not only from Telangana and Andhra Pradesh, but across India, visitus for these rare therapies. NextGen PET-CT is effective in the diagnosis of Cancer, Endocrine Abnormalities and Neurodegenerative Disease," said Dr. Lingaiah Amidayala, Director - Medical Services, Yashoda Hospitals Group, Hyderabad.

The Combined PET-CT Scan at Yashoda Hospitals, Somajiguda merges PET and CT images and provides detailed information about the size, shape and differentiating cancerous lesions from normal structures with accuracy. It is a diagnostic examination that combines two state-of-the-art imaging modalities and produces 3 dimensional (3D) images of the body based on the detection of radiation from the emission of positrons. It helps in early detection of cancer and any potential health problem that reveals how the tissues and organs are functioning by identifying a variety of conditions.

Dr. Hrushikesh Aurangabadkar and Dr. A Naveen Kumar Reddy, Consultants in Nuclear Medicine while explaining about the PET-CT said, "The cancer cells require a great deal of sugar, or glucose, to have enough energy to grow. PET scanning utilizes a radioactive molecule that is similar to glucose, called fluorodeoxyglucose (FDG). FDG accumulates within malignant cells because of their high rate of glucose metabolism. Once injected with this agent, the patient is imaged on the whole body PET scanner to reveal cancer growth, which are usually difficult to characterize by conventional CT, X-Ray, or MRI."

With this new technology, motion artifacts caused by respiration can be decreased and accurate diagnosis achieved.

The use of PET scans will also help the doctors to more accurately detect the presence and location of new or recurrent cancers.

Relevant Links: https://www.yashodahospitals.com/location/somajiguda/

Nuclear Medicine: https://www.yashodahospitals.com/specialities/nuclear-medicine-hospital-in-hyderabad/

About Yashoda Hospitals Hyderabad

Yashoda Group of Hospitals has been providing quality healthcare for 3 decades for people with diverse medical needs. Under astute leadership and a strong management, Yashoda Group of Hospitals has evolved as a centre of excellence in medicine providing the highest quality standards of medical treatment. Guided by the needs of patients and delivered by perfectly combined revolutionary technology even for rare and complex procedures, the Yashoda Group hosts medical expertise and advanced procedures by offering sophisticated diagnostic and therapeutic care in virtually every specialty and subspecialty of medicine and surgery. Currently operating with 3 independent hospitals in Secunderabad, Somajiguda and Malakpet and an upcoming hospital (currently under development) in Hi-Tech city, Telangana which is expected to be one of the largest medical facilities in India and will be spread over 20 lakhs sq. ft. with a capacity of 2000 beds. With a constant and relentless emphasis on quality, excellence in service, empathy, Yashoda Group provides world-class healthcare services at affordable costs.

Photo: https://mma.prnewswire.com/media/1433696/AI_PET_CT_Launched_Yashoda.jpg

SOURCE Yashoda Hospitals Hyderabad

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'Artificial Intelligence' Integrated PET-CT launched at Yashoda Hospitals, Hyderabad on the occasion of World Cancer Day 2021 - PR Newswire India

Artificial Intelligence and Sustainable Development Goals – Analytics Insight

Artificial Intelligence has immense potential catering to various aspects of the world be it economic, environment related, social or anything for that matter. AI has made taking decisions based on data easier than ever. Machines with deep learning capabilities have changed our lives for better. With this being said, one of the hottest topics that has garnered attention from across the globe is Can Artificial Intelligence aid in achieving Sustainable Development Goals? Yes, it can! Infact, there are sectors that have already been using this advanced technology of AI in meeting their goals. Some areas where this has proven successful are

The importance of education can just not be put into words. Not only does it open door to a plethora of career options to choose from, but also grooms you as a person. Gone are the days when getting educated required the presence of someone to guide you through. But today, education is far more accessible thanks to Artificial Intelligence. Getting educated without human teachers is probably one of the best innovations AI has come up with in the education sector. It cannot have got any better for the visually challenged students for the sole reason that they too can fulfil their desire of being educated with the help of voice assistants.

AI is also capable of monitoring the students performance from time to time. Recommending content based on the students past experience is yet another area that AI focuses on. All in all, the future is set to see more number of students getting trained by AI powered machine tutors rather than human tutors.

No matter which country you live in, this sector has a unique importance. It is just not possible to imagine life without this sector. Artificial intelligence can help in detecting diseases in plants and also target weeds. Farmers are now using AI forecasting models to predict upcoming weather patterns, thus enabling them to make better decisions.

Needless to say, this is that one sector that people can never get tired of praising. And when the world is shook by a pandemic like the 2020 virus, then the efforts put in by this sector needs no special mention. Since the data pertaining to the healthcare sector is insanely huge, Artificial Intelligence has the ability to collect and process this data for faster treatment. Coming up with technologies to check whether the person is cancerous or not, to estimate the probability of a person to develop cancer, to name a few are taking shape because of AI. India is marching towards an AI driven economy with every passing day. It has partnered with Microsoft to eradicate preventable blindness using an AI-enabled portable eye-scanning device that helps detect retinal diseases. In addition to all of this, AI is being used to deal with the cyber-security attacks in this sector as well.

The havoc created by disasters needs no special mention. AI promises to be a saviour here as well. It plays a pivotal role in minimizing the damage caused due to disasters. Artificial intelligence helps improve dam and barrage water release to minimize the risks.

The above are just few of the many areas where AI has worked wonders. AI has huge potential to serve a lot of sectors. If we come together and put Artificial Intelligence into its best use, then a better society awaits all of us in the years to come.

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Canon Medical expands reach of its MRI artificial intelligence programs – FierceBiotech

Canon Medical is expanding the clinical reach of its artificial intelligence programs designed to improve MRI image quality, saying it can now be used in 96% of all scanning procedures.

The companys Advanced intelligent Clear-IQ Engine, or AiCE, aims to sharpen scans taken by lower-dose, 1.5 Tesla MRIs, to bring their image quality up to par with 3.0 Tesla machines.

The system was previously cleared by the FDA for certain brain- and knee-focused indications, using Canon Medicals Vantage Orian 1.5 Tesla system. Now its applications span all joints, as well as cardiac, abdomen, spine and pelvic scans.

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In todays environment, making images easy to read and acquire is more important than ever, and this is the latest demonstration of our commitment to offering accessible AI that clinicians can use to make the greatest impact on patient care, said Jonathan Furuyama, managing director of Canon Medicals MR business unit.

RELATED: Canon gets FDA nod for high-resolution CT system

The expansion follows two recent FDA clearances for Canon Medical in December and January, including an AI-equipped, large-bore CT scanner and software designed to boost 3D MRI imaging times.

The companys Speeder software, also for its Vantage Orian 1.5 Tesla system, was cleared to help accelerate surgical planning and orthopedic applicationsby reconstructing full resolution images from under-sampled data. This allows technicians to perform a scan at least twice as fast, the company said. The software also includes an application to help clinicians quantify fatty liver disease.

The companys Aquilion Exceed large-bore CT system, meanwhile, uses AiCE technology to provide more distinct images with an opening nearly one meter wide, with an extended field-of-view of 90 centimeters.

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Canon Medical expands reach of its MRI artificial intelligence programs - FierceBiotech

Skinopathy Files Provisional Patent for Artificial Intelligence and Augmented Reality Powered Technology that will Guide Skin Cancer Surgeries – Yahoo…

TORONTO, Feb. 02, 2021 (GLOBE NEWSWIRE) -- Skinopathy, a Canadian medical company founded in 2020, has filed a provisional patent with the United States Patent and Trademark Office (USPTO) for Artificial Intelligence (AI) and Augmented Reality (AR) technology that will help guide surgeons when performing skin cancer excisions.

Healthcare practitioners will be able to use the AI technology which determines, pixel by pixel, the boundaries of cancerous skin tissue by simply taking a picture with their smartphones. The AR technology will then provide surgeons with an overlay of those boundaries through the screen.

Next level healthcare Cancerous skin tissue can sometimes extend beyond the measurable lesion and is typically unseen to even the most eagle-eyed surgeon.

That is why some surgeons choose to be overly cautious and remove more skin than might be necessary to prevent the need for further surgery, which can lead to visible scarring and other disfigurements. Conversely, it is possible that cancerous tissue remains following an excision due to the vagaries of the human body, quality-of-life considerations, or experience of the surgeon. This can potentially lead to continued growth and additional excisions in the future.

Once ready, surgeons will have access to cutting-edge technology that will lead to more informed medical decisions and significantly reduce the hardships felt by the patient and the strain levied on the healthcare system.

This will revolutionize skin cancer treatment, says Alexander Shevchenko, Lead Engineer at Skinopathy. We are providing surgeons with an additional skin cancer fighting tool they can carry in their pockets every day.

Preventing advanced stages of skin cancer Skin cancer is more prevalent than colon, lung, breast, and prostate cancers combined and typically present in very unspectacular ways.

Moles, skin tags, and rashes are rarely viewed as causes for concern and are often dismissed until the discomfort becomes greater than the hassle of seeing a doctor. But it is during that time of latency where dangerous conditions can fester and become deadly. When people finally take action, they are often subject to long wait times or need to travel hundreds (if not thousands) of kilometres to access physicians in a major urban centre.

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Using this technology, people will be able to take pictures of their skin lesion and get an immediate and accurate analysis that will advise on the severity of their condition and provide online access to healthcare practitioners in a matter of days, sometimes even hours.

This is a tremendous milestone for skin cancer, says Dr. Colin Hong, Co-Founder and Chief Medical Officer of Skinopathy. We are using technology to streamline the medical bureaucracy to ensure no one slips through the cracks.

It now takes weeks, sometimes months, to see a skin cancer specialist, and during that time cancerous tissue can grow rapidly and spread to other organs. Making matters worse is the ongoing COVID-19 pandemic which has added more delays and obstacles.

Geographically agnostic technologySkinopathy is using the same kind of technology used for the Re-Captcha security feature found on many websites. However, instead of using AI to determine the difference between a fire hydrant and a bus, Skinopathy is using it to determine the miniscule differences between a mole and a cancerous lesion.

Using real-world images taken by physicians and beta users using their smartphones, the Skinopathy prototypes have yielded 87% accuracy for nine different skin conditions, such as keratosis, and performed even more impressively for basal cell carcinoma, squamous cell carcinoma, and melanoma with accuracy rates ranging from 87% to 96%.

We are very excited about these results, says Dr. Rakesh Joshi, Lead Data Scientist at Skinopathy. There are very subtle nuances on how skin lesions present on the skin, and our models are able to detect the smallest of variances.

Since the technology being developed is geographically agnostic, it can be deployed anywhere in the world and bring needed medical care to under-serviced regions. You can learn more about the technology here.

Skin cancer facts and statsThe Canadian Skin Cancer Foundation states that 1 in 3 cancers diagnosed worldwide is skin cancer and that they outnumber lung, breast, prostate, and colon cancers combined.

Data from the Public Health Agency of Canada suggests the costs associated with skin and subcutaneous tissue diseases was over 2 Billion Dollars in 2010.

Research suggests there is a skin cancer epidemic in the elderly.

About Skinopathy Founded in 2020, Skinopathy is a medical company creating Artificial Intelligence (AI), Augmented Reality (AR), and automation technology that will ensure people and healthcare practitioners receive convenient, reliable, and State-Of-The-Art skin cancer mitigation tools. Its first service, GetSkinHelp.com, is already helping patients connect with specialists through its virtual platform.

ContactKeith LooCo-Founder & Chief Executive Officer(833) 272-7546 x700keith@skinopathy.com

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Skinopathy Files Provisional Patent for Artificial Intelligence and Augmented Reality Powered Technology that will Guide Skin Cancer Surgeries - Yahoo...

Using Artificial Intelligence to prevent harm caused by immunotherapy – Hindustan Times

Researchers at Case Western Reserve University, using artificial intelligence (AI) to analyze simple tissue scans, state that they have discovered biomarkers that could tell doctors which lung cancer patients might actually get worse from immunotherapy.

Using Artificial Intelligence to prevent harm caused by immunotherapy

Until recently, researchers and oncologists had placed these lung cancer patients into two broad categories: those who would benefit from immunotherapy, and those who likely would not.

But a third category--patients called hyper-progressors who would actually be harmed by immunotherapy, including a shortened lifespan after treatment--has begun to emerge, said Pranjal Vaidya, a PhD student in biomedical engineering and researcher at the university's Center for Computational Imaging and Personalized Diagnostics (CCIPD).

"This is a significant subset of patients who should potentially avoid immunotherapy entirely," said Vaidya, first author on a 2020 paper announcing the findings in the Journal for Immunotherapy of Cancer.

"Eventually, we would want this to be integrated into clinical settings so that the doctors would have all the information needed to make the call for each individual patient," added Vaidya.

Currently, only about 20 percent of all cancer patients will actually benefit from immunotherapy, a treatment that differs from chemotherapy in that it uses drugs to help the immune system fight cancer, while chemotherapy uses drugs to directly kill cancer cells, according to the National Cancer Institute.

The CCIPD, led by Anant Madabhushi, Donnell Institute Professor of Biomedical Engineering, has become a global leader in the detection, diagnosis, and characterization of various cancers and other diseases by meshing medical imaging, machine learning, and AI.

This new work follows other recent research by CCIPD scientists which has demonstrated that AI and machine learning can be used to predict which lung cancer patients will benefit from immunotherapy.

In this and previous research, scientists from Case Western Reserve and Cleveland Clinic essentially teach computers to seek and identify patterns in CT scans taken when lung cancer is first diagnosed to reveal information that could have been useful if known before treatment.

And while many cancer patients have benefitted from immunotherapy, researchers are seeking a better way to identify who would mostly likely respond to those treatments.

"This is an important finding because it shows that radiomic patterns from routine CT scans are able to discern three kinds of response in lung cancer patients undergoing immunotherapy treatment--responders, non-responders and the hyper-progressors," said Madabhushi, senior author of the study.

"There are currently no validated biomarkers to distinguish this subset of high risk patients that not only don't benefit from immunotherapy but may in fact develop rapid acceleration of disease on treatment," said Pradnya Patil, MD, FACP, associate staff at Taussig Cancer Institute, Cleveland Clinic, and study author.

"Analysis of radiomic features on pre-treatment routinely performed scans could provide a non-invasive means to identify these patients," Patil said.

"This could prove to be an invaluable tool for treating clinicians while determining optimal systemic therapy for their patients with advanced non- small cell lung cancer," added Patil.

As with other previous cancer research at the CCIPD, scientists again found some of the most significant clues to which patients would be harmed by immunotherapy outside the tumor.

"We noticed the radiomic features outside the tumor were more predictive than those inside the tumor, and changes in the blood vessels surrounding the nodule were also more predictive," Vaidya said.

This most recent research was conducted with data collected from 109 patients with non-small cell lung cancer being treated with immunotherapy, she said.

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Using Artificial Intelligence to prevent harm caused by immunotherapy - Hindustan Times