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Robots and artificial intelligence can benefit workers instead of hurting them if we address inequality today [Opinion] – Houston Chronicle

These are the jobs that robots are taking over. Robots take retail. Headlines such as these have become so common, theyre practically accepted as fact. While many are quick to blame advancing technology such as artificial intelligence, the real problem is how that technology is deployed in the workplace along with who stands to benefit from it.

Though tech hubs such as San Francisco, Boston and Seattle routinely grab the limelight, Houston too is on the forefront of an innovation that could drastically change the lives of some workers. Starting last year, a robotics company based in Silicon Valley, Nuro, has been using the suburbs of Houston to test its autonomous grocery delivery service.

In this age of driverless cars, were spending less time celebrating the freedom technology brings and more time worried about what it means for those such as the gig economy workers who deliver groceries who will eventually be replaced by autonomous vehicles.

These concerns are legitimate. Just as urgent is the need to grapple with how we can deploy this new technology to benefit workers. In short, the economic benefits of technology should be broadly shared among all of us.

How technological change is implemented, who benefits and who pays a price, will be based on choices that we make as a society. What scholars are learning, unfortunately, is that high economic inequality is confining the benefits of technological progress and accompanying economic growth primarily to the very rich.

Economic inequality the differences between the top 1 percent and the rest of us has been growing in the United States since the 1980s and stands at its highest point in a century. Houston is not immune: In 2015, the Houston metropolitan area ranked seventh among nearly one thousand metropolitan areas in its share of people who reside in the top 1 percent of incomes nationwide, according to a recent study by the Economic Policy Institute.

Technological progress, while making many workers more productive and adding high-skill jobs to the economy, also reinforces economic and other kinds of inequality, such as by race and gender. Technology has contributed to the rise of independent contractors, franchises and the gig economy. These trends have undermined their bargaining power to obtain wage increases and improved conditions.

Though it might be difficult to predict where technology will take jobs and employment in the decades ahead, we can make policy changes today that address inequality and ensure that workers are treated fairly and can earn their share of the productivity benefits technological advancement provides.

A fundamental step to reducing inequality is to ensure that our economy remains competitive and that the first mover advantage to create new platforms doesnt calcify into monopolies that stifle future innovation and entrepreneurship. Our 21st-century policies must be up to the task of ensuring market competition in the face of new technologies.

We also need to ensure that the gains of growth are shared. We have an easy way to do this: put in place a tax code that does not fossilize wealth into the hands of few. Changes in recent years have mostly benefited the wealthy and corporate interests, not the many. We need a tax code that gives us the capacity to make much-needed investments in our communities and our people that will ensure our economy can be competitive for generations to come. A number of proposals for taxing wealth have been offered; though some go farther than others, any step is a step in the right direction.

And, to directly support the workers who must contend with changing technologies, we need to modernize labor laws and other policies affecting workers to account for the changes taking place in the economy and to reverse actions that have weakened labor unions and worker power. The federal labor standards enacted in the 20th century essentially do not exist for millions of gig workers and others. Those standards for safety, for wages, for working conditions should be updated to meet the needs of todays families by including things like paid leave and extended to all.

In addition, workers voices need to be heard in the workplace. Worker input can lead to greater equity and more efficient production processes. See Harvard Universitys Labor and Worklife Program, which recently issued the Clean Slate for Worker Power, an agenda of policy recommendations that would strengthen the ability of organized labor to rebalance the power between workers and employers.

Luckily Houston has already begun to take action. In 2017, the Mayoral Task Force on Equity produced an in-depth report with a series of recommendations for addressing inequality in Houston. The policies included in Rising Together: A Roadmap to Confront Inequality in Houston ranged from a new jobs program and early childhood education reforms to greater investment in low-income neighborhoods and a more progressive tax system.

Too many conversations about technology and the future of work start from the premise that technology controls us, and not the other way around. If we want to ensure that technology serves all of us and that its benefits are broadly shared then we need to address inequality so that workers are better positioned to weather any challenges the robots might bring.

Boushey is the president and CEO of the Washington Center for Equitable Growth. She will be speaking about her book "Unbound: How Inequality Constricts Our Economy and What We Can Do About It" at Rice University on Wednesday, Feb. 12, at 6:30 p.m. This event is free and open to the public but registration is recommended. She will also be presenting at a Rice Scientia Conference on Work in the 21st Century: Automation, Workers, and Society Feb 13-14.

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Robots and artificial intelligence can benefit workers instead of hurting them if we address inequality today [Opinion] - Houston Chronicle

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Artificial Intelligence at the Patent Trial and Appeal Board – JD Supra

Updated: May 25, 2018:

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U.K. VC Firm Focused on Artificial Intelligence Expands to Southeast Asia – Entrepreneur

The company, which will target Malaysia and Indonesia first, said it believes the two countries have a lot of untapped potential to build AI talent and ecosystem

February12, 20201 min read

Skymind Global Ventures, a venture capital firm that invests in artificial intelligence companies, on Wednesday launched an $800 million fund and said it would expand to Southeast Asia region.

A significant portion of the $800 million fund will be used to invest in Southeast Asian AI companies, the company said in a statement to the press.

The company, which will target Malaysia and Indonesia first, said it believes the two countries have a lot of untapped potential to build AI talent and ecosystem.

The AI sector in Southeast Asia has boomed over the last couple of years with the proliferation of fintech and data and analytic companies. Singapore leads the group in AI-related research, followed by Malaysia, which has built a budding ecosystem of deep tech companies.

The global AI market was valued at $20.67 billion in 2018, and is expected to reach $202.57 billion by 2026, growing at a CAGR of 33.1 per cent during the forecast period, according to Fortune Business Insights.

Heavy manufacturing, healthcare and retail are three industries expected to be most disrupted by AI, globally, but in Asia Pacific, AI systems are expected to spend the most on the banking sector, followed by retail and telecommunications, according to an IDC research.

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U.K. VC Firm Focused on Artificial Intelligence Expands to Southeast Asia - Entrepreneur

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Global Artificial Intelligence Market Is Projected to Reach $390.9 Billion by 2025: Report – Crowdfund Insider

The global artificial intelligence (AI) market size is projected to hit $390.9 billion by 2025. The market is expected to achieve a compound annual growth rate of 46.2% from 2019 to 2025.

AI is a major technological innovation along with Big Data advancements, machine learning (ML), deep learning, and blockchain or distributed ledger technology (DLT).

These technologies are being integrated across a wide range of high-performance applications. Major developments in digital image and voice recognition software are driving the growth of the regional market, according to a release published by Research and Markets.

As noted in the release:

The two major factors fueling market growth are emerging AI technologies and growth in big data espousal. Rising prominence of AI is enabling new players to venture into the market by offering niche application-specific solutions.

Companies across the globe are consolidating their operations in order to remain competitive. In January 2017, Microsoft acquired Maluuba in order to advance its AI and deep learning development efforts. Established industry participants are working on hardware and software solutions that incorporate these new technologies.

North America, by far, held the lions share in the worlds AI market in 2018 due to substantial investments from government agencies, established presence of industry participants, and unparalleled technical expertise. The Asia Pacific (APAC) region, however, is expected to overtake N. America to emerge as the worlds leading regional market by 2025, recording the highest CAGR, the release noted.

This may be due to significant improvements in information storage capacity, high computing power, and parallel processing, all of which have contributed to the swift uptake of artificial intelligence technology in end-use industries such as automotive and healthcare, the release stated.

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Global Artificial Intelligence Market Is Projected to Reach $390.9 Billion by 2025: Report - Crowdfund Insider

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The diagnostic accuracy of artificial intelligence in thoracic diseases: A protocol for systematic review and meta-analysis. – Physician’s Weekly

Thoracic diseases include a variety of common human primary malignant tumors, among which lung cancer and esophageal cancer are among the top 10 in cancer incidence and mortality. Early diagnosis is an important part of cancer treatment, so artificial intelligence (AI) systems have been developed for the accurate and automated detection and diagnosis of thoracic tumors. However, the complicated AI structure and image processing made the diagnosis result of AI-based system unstable. The purpose of this study is to systematically review published evidence to explore the accuracy of AI systems in diagnosing thoracic cancers.We will conduct a systematic review and meta-analysis of the diagnostic accuracy of AI systems for the prediction of thoracic diseases. The primary objective is to assess the diagnostic accuracy of thoracic cancers, including assessing potential biases and calculating combined estimates of sensitivity, specificity, and area under the receiver operating characteristic curve (AUC). The secondary objective is to evaluate the factors associated with different models, classifiers, and radiomics information. We will search databases such as PubMed/MEDLINE, Embase (via OVID), and the Cochrane Library. Two reviewers will independently screen titles and abstracts, perform full article reviews and extract study data. We will report study characteristics and assess methodological quality using the Quality Assessment of Diagnostic Accuracy Studies 2 (QUADAS-2) tool. RevMan 5.3 and Meta-disc 1.4 software will be used for data synthesis. If pooling is appropriate, we will produce summary receiver operating characteristic (SROC) curves, summary operating points (pooled sensitivity and specificity), and 95% confidence intervals around the summary operating points. Methodological subgroup and sensitivity analyses will be performed to explore heterogeneity.CRD42019135247.

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The diagnostic accuracy of artificial intelligence in thoracic diseases: A protocol for systematic review and meta-analysis. - Physician's Weekly

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This Fake Travis Scott Song Created By Artificial Intelligence Sounds Almost Like The Real Thing – Genius

Digital agency space150 created a deepfake version of the rapper named Travisbott.

Recent advances in machine learning have allowed musicians like Holly Herndon to use artificial intelligence programs while creating their music. As reported in Adweek, digital agency space150 recently pushed the technology to its limits by creating an entirely AI-generated song with lyrics and melodies modeled after Travis Scotts music.

After two weeks of feeding lyrics into a text generator model, the creative team produced a track titled Jack Park Canny Dope Man by a deepfake version of the rapper named Travisbott. It was released with an unsettling music video:

The track comes complete with Scotts signature its lit and straight up ad-libs and features heavily auto-tuned vocals with nonsensical rhymes:

I aint got the surfers cause I know Im not that hardBut I got all my old bitches mad by the barsThinkin at the Grammys, in the family, I got starsTry to put in the plane, but the blame be on the cars

Ned Lampert, executive creative director at space150, explained to Adweek why the agency created the project, which wasnt designed for any particular client.

We were sort of fascinated with like, What if we tried to make a songlike an actual good songby using AI and basically creative directing AI? he said. And so we chose Travis Scott just because he is just such a unique artist and he has a unique sound and everything sort of has an aesthetic to it, both audibly and visually.

According to Lampert, the bot initially kept generating lyrics about food while it was still learning to mimic the Houston rappers style. There was one line like, I dont want to fuck your party food, he recalled.

Much like Herndon did with her 2019 album, PROTO, the agency used neural network programs to create the melodies and percussion arrangements for the songs instrumental, which falls just short of approximating the feel of Travis' signature sound.

In late 2019, Canadian musician Grimes spoke about AIs growing capacity to create music on the Mindscape podcast. Once theres actual AGI (Artificial General Intelligence), its gonna be so much better at making art than us, she said. Once AI can totally master science and art, which could happen in the next 10 years, probably more like 20 or 30 years.

While Travisbott shows machine learning hasnt surpassed human ability quite yet, AI-generated music continues to improve at a rapid pace.

Check out the full Adweek report here, and read all the lyrics to TravisBotts Jack Park Canny Dope Man on Genius now.

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This Fake Travis Scott Song Created By Artificial Intelligence Sounds Almost Like The Real Thing - Genius

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If artificial intelligence is going to revolutionise the NHS, people need to be educated on its uses – City A.M.

As Boris Johnson tries to reposition the Tories as the party of the NHS, with a 34bn-a-year long-term funding bill, the health services future will be in the minds of many. Its workforce is under relentless strain as it seeks to deliver world-class healthcare to the population, and many staff are overwhelmed.

As the debate continues, one area where we have seen growing momentum is the potential of artificial intelligence (AI) to help support staff and the broader system. If deployed correctly, AIs vast processing power and bespoke insights could enhance the provision of healthcare in countless ways, from clinical diagnosis, drug testing and research, through to nutritional advice and guidance.

Read more: NHS to be the centrepiece of Queens Speech

Healthcare by its very nature will continue to be human-led, but new technologies can free people up to concentrate on providing the right care to the patients that need it.

Encouragingly, one of Londons universities is at the forefront of this shift towards augmented intelligence. Kings College London recently announced that from 2020 onwards it will partner with two companies to deliver an AI model that develops research, clinical and operational improvements across many clinical areas, including cancer, heart failure, dementia and strokes.

And Kings is by no means alone. Earlier this year, researchers at Oxford University announced that they had developed an AI tool that can predict a patients risk of suffering a heart attack nearly a decade before it strikes. The tool has since been given government funding, with a view to it becoming available on the NHS in the next two years.

So, the use of AI in healthcare is far from science-fiction. In fact, AI already pervades in our daily lives both in healthcare and beyond. Your Netflix recommendations, your phones face ID security, and even your Google searches are all underpinned by AI in some form.

Yet the general population is still reluctant to embrace AI in healthcare.

Our research of UK consumers indicates that the jury is still out over its potential. Just 30 per cent think AI will help them live longer by providing access to improved healthcare, treatments and support. They are also sceptical about its use in supporting invasive surgery, with 62 per cent preferring a human to oversee and conduct their procedure rather than technology, even if the latter would guarantee a quicker recovery time.

Consumers are even nervous about the sharing of accurate personal data the essential ingredient enabling AI to produce useful insights. Currently, only half of consumers would be comfortable with their doctor let alone a machine having access to data about their daily lives (such as their drinking habits, rate of exercise, diet and so on) to give better medical advice.

This lack of trust can be put down to a perceived lack of transparency. Almost three quarters (72 per cent) of the general public do not feel that businesses or the government are clear enough on the tech they use and how they use them.

If people do not understand the details, how can they invest in the use of technology when it comes to something that could, quite literally, make the difference between life and death?

Read more: The second order impacts of artificial intelligence

As the main custodian for healthcare in the UK, the NHS must play its part in ensuring that patients trust these new innovations with their lives and embrace their integration into the service. This means that, along with the government and relevant companies, the health service must better inform patients on how these technologies are being used.

Without this transparency, trust and understanding, the potential of AI to help save lives will not be realised.

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If artificial intelligence is going to revolutionise the NHS, people need to be educated on its uses - City A.M.

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Arm’s latest artificial intelligence chips show the pull of voice tech – Business Insider Nordic

Chip designer Armunveiled two new chip designs that can provide better AI functionality on edge Internet-of-Things (IoT) devices, which typically lack robust power sources.

Business Insider Intelligence

The Cortex-M55 processor delivers machine learning performance that's up to 15 times better than its previous iterations, and a five-fold improvement in digital signal processing performance. And the Ethos-U55 NPU, the industry's first microNPU, is designed to pair with the Cortex-M55 to handle heavier workloads.

Together the two chips can provide a 480-fold uplift in machine learning performance compared with previous units while maintaining a small, power-efficient package. When the chips hit the market in 2021 they will enable tech companies to implement AI applications locally on smaller devices without sacrificing performance or size.

The new chips will be a boon for companies working on data-intensive on-device AI applications.On-device processing means that an AI application, like a voice assistant, can operate without a stable internet connection, thereby greatly improving its functionality.

Because data is stored and processed locally, on-device AI can provide quicker results, as it doesn't have to transmit data to and from the cloud to be processed datagainsroughly 0.82 milliseconds of latency for every 100 miles it travels. Fast processing speeds are critical in applications like voice assistants, where any lag in response time can harm the user experience.

Additionally, because data is stored locally it can be kept safe in the event of a cloud data breach, a major concern among IoT users. Over 90% of US Fortune 500 firms have experienced a cyber attack against their cloud systems, with 60% experiencing a data breach,according toa Proofpoint study cited by TechXplore.

Arm's newest chips are evidence of the impact that manufacturers' demand for diverse voice form factors is having on the connectivity ecosystem and supply chain.Tech giants are creating a range of voice-enabled products in alternative form factors, such asceiling lightsandwall clocks.

Companies are even creatingbattery-powereddevices with voice assistants, which face power constraints. This push to add AI functionality to smaller and more power-constrained devices is pressuring component vendors to keep pace with the evolving needs of device makers.

Chip designers and manufacturers have a large incentive to produce the most efficient and compact chips, as they stand to cash in on a lucrative opportunity in 2020 alone, chipmakers are expected to generate almost $2.6 billion by shipping 750 million edge AI chips, a number which is expected to double by 2024,perDeloitte.

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Arm's latest artificial intelligence chips show the pull of voice tech - Business Insider Nordic

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Artificial Intelligence to be $100 billion sector by 2025 – CXOToday.com

Artificial Intelligence (AI) to be $100 billion sector by 2025

AI startups received $14 billion investment in 2019

AI, an effective tool for Indian Judiciary System : CII Summit and Expo on AI Application & Digi-Tech

Day two ofConfederation of Indian Industrys (CII)Summit and Expo on AI Application & Digi-Tech,kick started with a thought-provoking panel discussion onAI in Public Service.The session highlighted the benefits of AI interventions in Agriculture, Smart Cities, Healthcare, Skilling, Education, Public Utility Services, Judiciary and Governance.

Mr. Sameer Dhanrajani, CEO, AIQRATEsaid that in India we are seeing a great opportunity for AI to support various processes both in the public and private entities. One of the areas where AI can be most effective is in the countrys judicial system. Currently we have 33 million legal cases pending in India. 84% of which has an average pendency of 13 years. AI can be used to deal with all previous cases that we have in our repository by extrapolating it by means of text-mining, multilayer perceptron (MLP) and deep learning. Leaving the legal system to focus on their core job, which is to solve and close cases on an agile basis.

Globally, AI has seen $45 to $58 billion investment during the last year. It is growing at the fastest pace of any exponential technology. The AI segment will be worth over $100 billion by 2025. This gives ample indication of the scale and opportunities in this sector. According to Mr. Dhanrajani, the companies that have adopted AI will take away $1.2 trillion worth of business from their competitors. In 2019 alone AI startups have received $14 billion investment across 600 funding events.

Realizing the importance of AI currently, 28 nations around the world are curating or drafting AI policies and strategies. India is one among them however where the country lags behind is in research. In India we have only 2000 to 2500 research papers submitted every year and China has 10 times more. Out of 34.8 million students coming out of our higher education system in the country only 18% are employed. The job opportunities in the new age will require skills that are not taught in our educational system and this needs to change.

India is uniquely poised to be a global leader in AI, and this is due to the diversity of our population generating a diverse set of data. Attaining a premier position in AI will require convergence of all stakeholders. Towards this, India need to focus on 3 broad areas i.e.Education infusing new age courses and adapting personalized learning powered by AI,Enable create an open innovation platform, a pipeline of AI centric solutions and their adoption andEthics Draft an operating framework within which AI can be developed, Mr. Dhanrajani elaborated.

The panel discussion highlighted the sectors in India where AI can make the most difference:

Governance AI can power several governance initiatives ranging from security threats, RTI, potential fraud and corruption to improving the legal system, curbing human trafficking and tracking of missing persons.

Ms.AparnaGupta,Analytics&DataScienceLeader,OracleCloudSolutionsHub;MrKapilGandhi,VicePresidentStrategyIntelligentAutomation,GenpactDigital;Ms.PadmashreeShagrithaya,VicePresident&HeadAnalytics,DataScienceandVisualization, Capgemini;MrSanjeevKumar,SrDirectorData&Analytics, BakerHughes;MrSatyamoyChatterjeeExecutiveVicePresident AnalytticaDatalabInc also participated in the panel discussion chaired byMr. Sameer Dhanrajani.

With an objective of identifying and showcasing the best Start-up with the most Innovative scale deployment of Artificial Intelligence & Industrial AI in a large corporate environment CII in association withAccenture Ventures held theCII AI Challenge which felicitated the best startups in each of the segment.

AskSidhas been recognized as the Best Start up for Innovative deployment of Artificial Intelligence in large scale corporate environment.

QualitasTechnologieshas been recognized as the Best Start up for Innovative deployment of Industrial AI in large scale corporate environment.

The summit witnessed a live audience poll for the presentation made by the Start-ups and Orbo.aiwas recognized has Best Start up (Audience poll category ).

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Artificial Intelligence to be $100 billion sector by 2025 - CXOToday.com

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6 Emerging Applications for AI in Healthcare – Software Advice

What is the future of artificial intelligence (AI) in healthcare?

Its a big question that almost every medical professional has had cause to ask recently, and the answer is even bigger. In fact, at this moment, the answer is something along the lines of, We dont exactly know yet, but its going to be monumental.

There are, of course, current applications for AI being used and developed today that we can look at to inform our prediction of how AI will be used in healthcare in the future, and thats exactly what were going to cover here. By the end of this article, we will have an answer to our question.

And well craft that answer using Gartner research to identify healthcare use cases for AI (content available to Gartner members).

AI applications currently being used to serve providers and improve their performance and experience do so by helping to enhance human performance on cognitive tasks. For example, AI is improving diagnostics and treatment plans by analyzing data and applying machine learning and/or algorithms to provide decision support or even make decisions themselves.

Two existing applications that fall into this category are:

Diagnostic imaging interpretation: Using deep learning programs and categorization technology, AI-enabled imaging systems are now equipped with algorithms for faster and more accurate image reading, including x-rays, MRI exams, and CT scans. Not only does AI imaging technology improve a doctors performance with a more accurate diagnosis, but its also a valuable tool in combating the shortage of imaging specialists in the healthcare market.

Precision health: A new approach to healthcare that focuses on preventative care based on data collected from genetic information, wearable devices, and advanced electronic health systems. Using information such as a patients lifestyle, environment, and biometric data, AI-enabled precision health tools can identify potential risks and suggest preventative interventions.

As these two examples illustrate, artificial intelligence is currently making life easier for medical providers, and it will continue to do so as these applications are further developed and iterated into new areas.

With this knowledge, we can begin crafting our answer to the original question:

The future of artificial intelligence in healthcare is better medical outcomes achieved through more accurate diagnosis and advanced treatment.

With a growing focus on patient experience and engagement in healthcare, its natural that AI has been adapted to serve patients as well as providers. Through the use of AI-enabled interfaces, patients now have more power and control over their own care paths.

Two examples of patient solutions using artificial intelligence are:

Virtual health assistants: Using augmented reality, cognitive computing, speech and body recognition software, a virtual persona is created for patients to engage with. These virtual health assistants are able to provide a personalized experience in which patients can ask questions and learn how to better manage their health.

Healthcare bots for customer service: These are interactive chatbots that use natural language processing (NLP), sentiment analysis, and concept extraction algorithms to respond to patient statements and questions around administrative things such as bill payment, appointment scheduling, or medication refills.

We know that patients do a better job of managing their own chronic conditions and that outcomes improve when they are engaged with their care, but staying in regular communication with individual patients adds a time-consuming burden to already overwhelmed medical providers.

With these AI tools, patients can achieve positive results while providers are granted more time to focus on other tasks. Thus, we can expand our answer to what the future of AI will be:

The future of artificial intelligence in healthcare is better medical outcomes achieved through more accurate diagnosis and advanced treatment, as well as more informed and engaged patients.

Finally, AI algorithms can go a long way towards automating administrative processes, eliminating waste, and reducing bottlenecks by better managing all of the data that a medical practice produces.

Currently, AI is being used to great effect in the realm of revenue cycle management and optimization. Two examples of that are:

Real-time physician documentation improvement: Using specialized, real-time decision support models at the point of care, physicians can increase the accuracy, comprehensiveness, and efficiency of their note taking.

Computer-assisted coding: Programs using NLP and machine learning can suggest medical codes based on clinical documentation. Coders can use these suggestions to amend or validate their codes and ensure the highest reimbursement rate possible.

And with that, were able to account for administrative tasks in the formation of our answer:

The future of artificial intelligence in healthcare is better medical outcomes achieved through more accurate diagnosis and advanced treatment, more informed and engaged patients, and more efficient administrative processes.

According to Gartner, The AI/smart machine era will be the most disruptive in the history of IT Eventually, these advances will redefine what it means to be a physician and a patient.

However, as these advances are made, Gartner has also identified current challenges to adopting AI. The most notable one is a lack of trust in AI-based technologies from medical providers.

Those medical providers who fail to recognize the benefits of AI are in for a wake-up call.

As Gartner puts it, Physicians must begin to trust the use of AI so they are comfortable using it to augment their clinical decision making. There is simply so much information available to use when making medical and diagnostic decisions that it is truly beyond the cognitive capabilities of the human brain to process it all.

AI has been and is being tested on a large scale by massive healthcare delivery organizations, and the beauty of operating an independent medical practice is that you get to watch these giant providers as they test out technology before it becomes ubiquitous (and before patients start expecting to see that tech in smaller practices).

Look to these providers as they incorporate AI-powered technology more and more, and use their examples to figure out what applications will be the most beneficial to you.

Continued here:
6 Emerging Applications for AI in Healthcare - Software Advice

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