Category Archives: Artificial Intelligence
Artificial Intelligence automates the diagnosis of severe heart valve … – Yale School of Medicine
Researchers at the Cardiovascular Data Science (CarDS) Lab have developed a novel approach that can detect a common valvular heart disease known as severe aortic stenosis from ultrasound scans of the heart. The study, published August 23 in the European Heart Journal, could have implications for routine clinical care.
Severe aortic stenosis, or AS, is a major health disorder, particularly among older adults, caused by a narrowing of the aortic valve. Early diagnosis can enable interventions to alleviate symptoms and reduce the risk of hospitalization and premature death. Specialized ultrasound imaging of the heart, called doppler echocardiography, is the main test to detect AS. The team developed a deep learning model that can use simpler heart ultrasound scans to automatically detect severe AS.
The technology was developed by Rohan Khera, MD, MS, an assistant professor of cardiovascular medicine and health informatics, director of the CarDS Lab, and the studys senior author, and colleagues at the Chandra Family Department of Electrical and Computer Engineering at UT Austin, with 5,257 studies that included 17,570 videos between 2016 and 2020 at Yale New Haven Hospital. The model was externally validated by 2,040 consecutive studies from different cohorts in New England and California.
Our challenge is that precise evaluation of AS is crucial for patient management and risk reduction. While specialized testing remains the gold standard, reliance on those who make it to our echocardiographic laboratories likely misses people early in their disease state, said Khera.
Our goal was to develop a machine learning approach that would be suitable for point-of-care ultrasound screening, said the studys co-first author Evangelos Oikonomou, MD, DPhil, a cardiology fellow and a current postdoctoral researcher in the CarDS Lab.
Their work allows the early detection of aortic stenosis so patients can receive timely care. Our work can allow broader community screening for AS as handheld ultrasounds can increasingly be used without the need for more specialized equipment. They are already being used frequently in emergency departments, and many other care settings, added Khera.
The advance is a result of close collaboration between clinician-investigators and computer scientists. Greg Holste, a PhD student at UT Austin, being co-advised by Dr. Khera, who led the development of an innovative methodology that enabled the technology and was a co-first author of the study. To allow practical development that leverages emerging technology for improving clinical care, such multidisciplinary collaboration is essential, emphasized Dr. Khera.
This study was funded in part by a grant from the National Heart, Lung, and Blood Institute of the National Institutes of Health award K23HL153775.
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Artificial Intelligence automates the diagnosis of severe heart valve ... - Yale School of Medicine
Joe Biden Unveils Aggressive Plans For Mandatory Artificial Intelligence Regulations – Yahoo Finance
The U.S. is lagging when it comes to regulating artificial intelligence (AI).
Several industry leaders rallied for the need to regulate the technology after the viral success of the generative AI platform ChatGPT. Some speculated this was due to their incredible lead in the AI space. Other worries also persist that AI could lead to job displacement and that unscrupulous actors might unlawfully exploit the intellectual property of businesses, artists and others. These concerns resulted in a series of legal actions.
Europe passed the AI Act in June. It is deemed to be the "world's first comprehensive AI law" and one of the toughest regulatory guidelines for space. Shortly after releasing the guidelines for the AI Act, more than 150 executives signed an open letter to the European Commission to address the aggressive policies.
"In our assessment, the draft legislation would jeopardize Europe's competitiveness and technological sovereignty without effectively tackling the challenges we are and will be facing," the letter stated.
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The White House has been urging companies to pledge to develop AI in a responsible manner amid widespread concerns regarding the potential for the technology to amplify misinformation and cybercrime, presenting a national security threat.
Key figures in artificial intelligence, including Microsoft Corp., Alphabet Inc.'s Google and OpenAI, were scheduled to convene at the White House in mid-July. Pioneered by the federal government, industry leaders pledged to incorporate protective measures into their advancements in a technology that has garnered substantial attention on Wall Street and caused concern among numerous global leaders.
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Billionaire polymath Elon Musk was a co-founder of ChatGPT maker OpenAI but later parted ways with the company. Has been a long-standing advocate of AI regulations, stating that a "Terminator-like" outcome awaits if development continues unchecked. He hosted a Twitter Spaces event last month, alongside two notable members of the U.S. House of Representatives, with a primary focus on artificial intelligence. Despite this, AI continues to advance and thrive. Startups like AvaWatz have already raised millions from retail investors for cooperative AI drone teams that work together, and companies like Microsoft continue to invest billions into the space.
"I've known Elon for years," U.S. Rep. Ro Khanna (D-Calif.) said. "We will be examining the potential benefits and downsides of AI."
Rep. Mike Gallagher (R-Wis.) touted Musk's knowledge base in the field before the event, stating that he is "the foremost figure aligned with the AI cautious approach, representing those who harbor concerns about the existential threats and advocate for a temporary halt."
During a White House gathering, Biden tackled mounting apprehensions surrounding the possible exploitation of artificial intelligence for disruptive intentions. He emphasized the need for a discerning and watchful stance toward the risks posed by emerging technologies to the integrity of U.S. democracy.
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"We'll see more technology change in the next 10 years, or even in the next few years, than we've seen in the last 50 years. That has been an astounding revelation to me, quite frankly," President Joe Biden said about the robust adoption of artificial intelligence.
As part of the White House's ongoing efforts to regulate AI, Biden convened a meeting with executives from the seven companies at the White House on July 21. Notable attendees included pioneers such as OpenAI, Microsoft, Meta Platforms Inc., Amazon.com Inc., Inflection AI Inc. and Anthropic.
As a component of this initiative, the companies pledged to establish a mechanism to "watermark" various types of content, encompassing text, images, audio and AI-generated videos. The embedded watermark, implemented through technical means, is anticipated to facilitate the identification of content manipulated by AI. Its purpose is to assist users in detecting instances of deep-fake visuals or audio, which might falsely depict violence, enhance fraudulent schemes or manipulate images of politicians to portray them negatively.
The companies also made a commitment to prioritize safeguarding users' privacy during the advancement of AI. They expressed their dedication to creating AI-driven solutions.
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Joe Biden Unveils Aggressive Plans For Mandatory Artificial Intelligence Regulations - Yahoo Finance
University of Florida Plans New Center for Applied Artificial … – AgFax
Citrus greening on tree leaf. Photo: University of Florida Extension
The University of Florida Institute of Food and Agricultural Sciences is preparing to construct a new Center for Applied Artificial Intelligence in Wimauma, a rural area in Hillsborough County. The project, which is estimated to cost around $20 million, aims to enhance the use of artificial intelligence in agriculture. The proposed 34,000 square-foot facility will feature office, research, and meeting space, as well as accommodation for approximately 32 graduate students.
The center will include a state-of-the-art research shop equipped with the necessary tools and equipment for the design and development of robotic technologies for agriculture. It will also serve as a central hub for training in artificial intelligence and robotic technologies, with designated meeting areas, offices, and open concept workspaces.
Robert Gilbert, the dean for research at UF/IFAS, expressed his vision for the facility as part of their mission to become a recognized leader in the application of artificial intelligence in agriculture. The center, along with its associated faculty, will focus on developing programs in robotics, precision agriculture, and plant breeding. These initiatives aim to accelerate agricultural technologies not only for the strawberry and tomato industries in the region but also for diverse agricultural enterprises across the state.
The University of Floridas ambitious plans for the Center for Applied Artificial Intelligence demonstrate their commitment to pushing the boundaries of agricultural innovation. Through this endeavor, they aim to advance the industry by leveraging the potential of artificial intelligence and robotics.
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University of Florida Plans New Center for Applied Artificial ... - AgFax
Scientific discovery in the age of artificial intelligence – Nature.com
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Artificial Intelligence in Healthcare Faces Roadblocks Due to … – Fagen wasanni
Artificial intelligence (AI) systems, such as ChatGPT, are increasingly being used in various industries, including healthcare. However, a recent study reveals that doctors are hesitant to adopt these technologies due to a lack of skills to interpret and act upon AI predictions.
Clinical decision support (CDS) algorithms, which are AI tools used to assist healthcare providers in making important medical decisions, have the potential to greatly enhance patient care. For example, they can help doctors determine the appropriate antibiotics or recommend risky surgeries. However, the success of these algorithms depends on how physicians interpret and utilize their risk predictions.
Unfortunately, many doctors currently lack the skills needed to understand and utilize AI algorithms effectively. CDS algorithms can range from simple risk calculators to advanced machine learning systems. They can predict life-threatening conditions or recommend the most effective treatment for individual patients.
To bridge this gap, the authors of the study suggest that medical education and clinical training should include explicit coverage of probabilistic reasoning related to CDS algorithms. Physicians should receive training on how to critically evaluate and use CDS predictions, interpret them in the context of patient care, and effectively communicate them to patients.
Currently, some clinical decision support tools are already integrated into electronic medical records systems. However, healthcare providers often find them cumbersome and difficult to use. The authors emphasize that while doctors do not need to be math or computer experts, they require a baseline understanding of how algorithms work in terms of probability and risk adjustment.
In conclusion, while AI has the potential to transform healthcare, doctors need to develop the necessary skills to incorporate AI algorithms into their practice effectively. By addressing this skills gap, healthcare can fully leverage the benefits of AI in improving patient care.
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Artificial Intelligence is Transforming the Travel Industry – Fagen wasanni
Artificial intelligence (AI) is revolutionizing how travel brands operate, with significant impacts already seen in various areas.
AI technology is being used to process and analyze large amounts of data to predict travel demand and impact pricing. Unconventional sources, such as images posted on social media, are being utilized to uncover signals about travel preferences among travelers. Hotel executives are optimistic about AIs potential to make room pricing more profitable, with the ability to assign rates for specific rooms based on their perception.
In terms of customer service, AI has the potential to personalize experiences and increase customer loyalty. Major hotel brands, online travel agencies, and other companies are working to implement advanced AI into their businesses. For example, Amazon has a program called Amazon Personalize that enables travel brands to personalize travel itineraries. Hyatt saw a $40 million increase in revenue after implementing AI-generated recommendations for customers.
AI is also playing a significant role in travel planning and booking. Companies like Priceline, Expedia, Booking.com, and TripAdvisor have released AI-powered platforms that provide personalized recommendations, enhanced payment security, and intelligent chatbots to act as local guides or concierges. These platforms are making it easier for travelers to plan and book their trips.
Furthermore, AI is being utilized in the hotel tech sector to combat labor shortages. By enhancing platforms with generative AI, companies are able to automate processes and overcome staffing challenges. HiJiffy, for example, has used AI to answer specific questions and provide information to hotel clients, experiencing significant growth during the pandemic due to labor shortages.
Overall, AI is reshaping the travel industry by improving travel demand prediction, enhancing customer service, simplifying travel planning and booking, and addressing labor shortages. These advancements are paving the way for a more efficient and personalized travel experience.
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Artificial Intelligence is Transforming the Travel Industry - Fagen wasanni
The Role of Artificial Intelligence in Nursing – Fagen wasanni
Artificial Intelligence (AI) has made significant advancements in various fields, including nursing. One popular form of AI is ChatGPT, which has gained immense popularity in a short span of time. However, ChatGPT is just the beginning of how AI will revolutionize the nursing profession.
AI, in the context of nursing, refers to machines that can emulate intelligent human behavior. Through machine learning, computers are taught to learn from experience and continuously improve their accuracy over time. As the healthcare industry adopts AI, the nursing field stands to benefit immensely.
One area where AI can transform nursing is in the streamlining of electronic health records. Charting patient information and updating records can be simplified and automated, saving nurses valuable time. AI can also enable remote patient monitoring, allowing nurses to keep a watchful eye on patients even from a distance. Additionally, predictive analytics can become more effective at identifying disease risk factors, enabling early intervention and prevention.
The impact of AI on the remote nursing job market will depend on the goals and workflows of each company. Utilization management and review, for example, could be simplified with AI algorithms that match clinical documentation to insurance criteria. Telephonic triage could be enhanced by AI creating unique protocols based on patient conversations. AI chatbots can assist case managers by connecting patients to the appropriate caregivers or help automate appointments and medication reminders. Moreover, AI can automate the process of data abstraction from patient medical records.
While AI will increase remote nurse productivity and create new job opportunities, it cannot replace the need for clinical oversight and nursing judgment. Remote nursing jobs that require physical assessments and bedside tasks will still be integral to patient care.
The future of AI in nursing holds promise for increased job possibilities, reduced burnout, improved productivity, and enhanced professional respect for nurses. AI-driven personal assistants and technologies that intertwine nursing with technology will expand the role of nurses in healthcare.
In conclusion, AI will undoubtedly transform remote nursing by increasing efficiency, accuracy, and patient outcomes. However, it is crucial to acknowledge that AI cannot replace the compassionate and personalized care provided by nurses. Staying informed about AI trends and embracing new technological advancements will be essential for nurses to thrive in the evolving healthcare landscape.
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The Role of Artificial Intelligence in Nursing - Fagen wasanni
Johns Hopkins makes major investment in the power, promise of … – The Hub at Johns Hopkins
ByHub staff report
Johns Hopkins University today announced a major new investment in data science and the exploration of artificial intelligence, one that will significantly strengthen the university's capabilities to harness emerging applications, opportunities, and challenges presented by the explosion of available data and the rapid rise of accessible AI.
At the heart of this interdisciplinary endeavor will be a new data science and translation institute dedicated to the application, understanding, collection, and risks of data and the development of machine learning and artificial intelligence systems across a range of critical and emerging fields, from neuroscience and precision medicine to climate resilience and sustainability, public sector innovation, and the social sciences and humanities.
The institute will bring together world-class experts in artificial intelligence, machine learning, applied mathematics, computer engineering, and computer science to fuel data-driven discovery in support of research activities across the institution. In all, 80 new affiliated faculty will join JHU's Whiting School of Engineering to support the institute's pursuits, in addition to 30 new Bloomberg Distinguished Professors with substantial cross-disciplinary expertise to ensure the impact of the new institute is felt across the university.
Ron Daniels
President, Johns Hopkins University
The institute will be housed in a state-of-the-art facility on the Homewood campus that will be custom-built to leverage a significant investment in cutting-edge computational resources, advanced technologies, and technical expertise that will speed the translation of ideas into innovations. AI pioneer Rama Chellappa and KT Ramesh, senior adviser to the president for AI, will serve as interim co-directors of the institute while the university launches an international search for a permanent director.
"Data and artificial intelligence are shaping new horizons of academic research and critical inquiry with profound implications for fields and disciplines across nearly every facet of Johns Hopkins," JHU President Ron Daniels said. "I'm thrilled this new institute will harness our university's innate ethos of interdisciplinary collaboration and build upon our demonstrated capacity to deliver impactful research at the forefront of this critical age of technology."
The creation of a data science and translation institute, supported through institutional funds and philanthropic contributions, will represent the realization of one of the 10 goals identified in the university's new Ten for One strategic plan: to create the leading academic hub for data science and artificial intelligence to drive research and teaching in every corner of the university and magnify our impact in every corner of the world.
The 21st century is already being defined by an explosion of available data across an almost incomprehensible array of subject areas and domains, from wearables and autonomous systems, to genomics and localized climate monitoring. The International Data Corporation, a global leader in market intelligence, estimates that the total amount of digital data generated will grow more than fivefold in the next few years, from an estimated 33 trillion gigabytes of information in 2021 to 175 trillion gigabytes by 2025.
"It's not hyperbole to say that data and AI to help us make informed use of that information have vast potential to revolutionize critical areas of discovery and will increasingly shape nearly every aspect of the world we live in," said Ed Schlesinger, dean of the Whiting School of Engineering. "As one of the world's premier research institutions, and with our existing expertise in foundational fields at the Whiting School, Johns Hopkins is uniquely positioned to play a lead role in determining how these transformative technologies are developed and deployed now and in the future."
Johns Hopkins has met the moment with several data-driven initiatives and investments, building on long-standing expertise in data science and AI to launch the AI-X Foundry earlier this year. Created to explore the vast potential of human collaboration with artificial intelligence to transform medicine, public health, engineering, patient care, and other disciplines, the AI-X Foundry represents a critical first step toward the creation of a data science and translation institute.
Additional JHU programs that will contribute to the new institute include:
Johns Hopkins is also home to the renowned Applied Physics Laboratory, the nation's largest university-affiliated research center, which has for decades conducted leading-edge research in data science, artificial intelligence, and machine learning to help the U.S. address critical challenges.
But there remains significant untapped potential to use data, artificial intelligence, and machine learning to expand and enhance research and discovery in nearly every area of the university, particularly in fields where the power of data is only now being realized. As Johns Hopkins Bloomberg Distinguished Professor Alex Szalay, an astrophysicist and pioneering data scientist, has said: "The most impactful research universities of the future will be those with scholars who possess meaningful depth in data and another domain, and are equipped with the ability to bridge between these disciplines."
To that end, the new institute will be a hub for interdisciplinary data collaborations with experts in divisions across Johns Hopkins, with affiliated faculty, graduate students, and postdoctoral fellows working together to apply big data to pressing issues. Their work will be supported by the latest techniques and technologies and by experts in data translation, data visualization, and tech transfer, shortening the path from discovery to impact and fostering the development of future large-scale data projects that serve the public interest, such as the award-winning Johns Hopkins Coronavirus Resource Center.
"The Coronavirus Resource Center is just one example of the power of data science and translation and its capacity to guide lifesaving decisions," said Beth Blauer, associate vice provost for public sector innovation and data lead for the CRC. "Our ability to harness data and connect it not just to public policy and innovation but to guide the deeply personal decisions we make every day speaks to the magnitude of this investment and its potential impact. There is no other institution more poised than Johns Hopkins University to guide us."
Johns Hopkins will develop this new institute with a commitment to data transparency and accessibility, highlighting the need for trust and reproducibility across the research enterprise and making data available to inform policymakers and the public. The institute will support open data practices, adhering to standards and structures that will make the university's data easier to access, understand, consume, and repurpose.
Additionally, institute scholars will partner with faculty from across the institution in fields including bioethics, sociology, philosophy, and education to support multidisciplinary research that helps academia and industry alike understand the societal and ethical concerns posed by artificial intelligence, the power and limitations of these tools, and the role for, and character of, appropriate government policy and regulation.
"As both data and the tools for harnessing data have become widespread, artificial intelligence and data-driven technologies are accelerating advances that will shape academic and public life for the foreseeable future," said Stephen Gange, JHU's interim provost and senior vice president for academic affairs. "The investment will ensure Johns Hopkins remains on the forefront of research, policy development, and civic engagement."
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Perceptions of Artificial Intelligence in Life Sciences – Fagen wasanni
A recent study conducted by ResearchAndMarkets.com provides insights into the perspectives of over 400 life scientists regarding the impact and potential of artificial intelligence (AI) in the life sciences sector. The study includes interviews with life science AI users, future users, and skeptics, addressing important questions about the future of AI in this field.
The survey targeted a diverse range of participants, including academic life scientists and professionals in the pharmaceutical and biopharmaceutical industries, ensuring a comprehensive and up-to-date understanding of AI in life sciences.
Key highlights of the report include the overall sentiment towards AI in the life science marketplace, the current applications where AI is being utilized, the barriers and motivators for AI adoption in workflows, and the leading organizations and brands in life science AI.
Whether individuals are current users, non-users, or skeptics of life science AI, this report offers valuable insights. It reveals what current users appreciate most about AI and uncovers the reasons why non-users and skeptics hesitate to embrace AI-based enhancements.
Life science instrument companies and technology developers will find this report invaluable in understanding market dynamics and shaping their strategies.
The report is based on a comprehensive online quantitative survey conducted with 411 respondents, primarily members of the Science Advisory Board (SAB) a segment of the scientific community known for their active participation in market research activities.
The report provides a comprehensive view of the perceptions of AI in life sciences and offers vital information for industry professionals.
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Perceptions of Artificial Intelligence in Life Sciences - Fagen wasanni
Why We Should Be Concerned About Artificial Intelligence in TV … – Fagen wasanni
As the writers and actors strikes continue, renowned TV creator Charlie Brooker, known for his popular series Black Mirror, has shared his perspective on the potential dangers of artificial intelligence (AI) in television.
Given Brookers ability to accurately predict our tech-centric future in previous episodes of Black Mirror, such as the recently released Season 6 episode Joan is Awful, where AI technology is used without pay or consent, his insights hold weight. This fictional portrayal mirrors real-world concerns raised by background actors who have experienced similar situations. The issue has become a focal point in the standoff between SAG-AFTRA and studios.
The use of AI not only poses a threat to actors but also to writers. The Writers Guild of America has demanded regulations on the use of AI-generated scripts. Brooker recently discussed this topic in an interview with Peter Kafka for Vox, emphasizing the potential misuse of tools like ChatGPT. He expressed concern that people may use AI to create content that they claim as their own but falls short of quality standards, leading to the need for human intervention to salvage it.
While Brooker acknowledged that human writers draw inspiration from other artists, he highlighted that AI-generated responses are often generic. Although he confessed to incorporating ideas from Rod Serlings work in Black Mirror, he clarified that his own creative process is far from artificial.
Brooker confirmed that the fear of studios using AI to replace writers and diminish their roles is indeed valid. He expressed worry that AI could be employed to generate initial drafts, leaving human writers with the task of revising and humanizing the content, which he deems a discouraging prospect.
All six seasons of Black Mirror are currently available for streaming on Netflix. For more coverage of the series, check out our other articles below.
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Why We Should Be Concerned About Artificial Intelligence in TV ... - Fagen wasanni