From the first artificial skin to driverless cars that navigate busy streets with ease, 2019 brought a dazzling array of artificial intelligence (AI) discovery. In 2020, the progress made toward AI-fueled collaboration will be as critical as AI innovation—especially in healthcare.
We’ve reached a point where AI has proven its utility. In radiology, for example, AI is well-oriented to interpret diagnostic imaging studies, with FDA approval given to AI algorithms that diagnose a collapsed lung or
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Artificial Intelligence’s Need for Health Data – Finding An Ethical Balance
With doctors’ time in short supply, one area in which AI-driven tools could help transform healthcare is by increasing diagnostic accuracy. AI-driven diagnostic tools, especially in areas like cardiology, have the potential to save the healthcare system money and most importantly save lives. They are developed using incomprehensibly large datasets and can, therefore, discover patterns that are invisible to the human eye. For example, echo-based tools combined with deep clinical insight,
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AI in Healthcare Is Exciting, However, It Is No Reason to Overpay For It
Eventually, many conversations about artificial intelligence (AI) include HAL. An acronym for Heuristically programmed ALgorithmic computer, HAL played a prominent and disconcerting role in Stanley Kubrick’s mind-bending 1968 film 2001: A Space Odyssey. In the film, sentient computer HAL learns that the humans suspect it of being in error and will disconnect it should that error be confirmed. Of course, HAL is having none of that, and terror ensues. So influential was
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Research: Half of Hospital Leaders Plan to Invest in AI by 2021
Half of hospital leaders plan to invest in artificial intelligence (AI) and robotic process automation (RPA) solutions by 2021, according to a new study conducted by Olive AI that reveals AI adoption healthcare is still in its infancy. The study explores how hospital leaders are responding to the imperative to drive efficiency and reduce costs through strategic investments in non-clinical technologies. Conducted in partnership with Sage Growth Partners, the survey respondents included 115
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Ethical Concerns of AI in Healthcare: Can AI Do More Harm Than Good?
The AI doctor can see you now, but it shouldn't treat you until ethics are in place. Professor Timothy Casey explains.
Artificial Intelligence (AI) and ethics—once mythical adversaries only on-screen like in “The Terminator” circa 1984— are now actually at virtual odds in 2019. This time, there are no catchy slogans like Arnold Schwarzenegger’s “I’ll be back,” but the moral question has returned:
Does AI’s transformative power have the ability to do more harm to humankind than good?
That is the
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Can AI Transform Patient Care from Reactive Craft to Strategic Art?
Personalized Analytics is becoming essential in healthcare, stemming from the movement from fee-for-service to a value-based market. The need to preempt and prevent disease on a more personal level, rather than merely reacting to symptoms, has created a significant opportunity for machine learning-based applications. This “analytics of one” approach (using advanced mathematical models and artificial intelligence techniques) is already impacting several key areas:
1. Medical imaging is utilizing
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AI in Healthcare: Enhancing Risk Models to Predict the Future Cost of Care
Traditionally, providers and health systems have relied on claims-based risk models, such as the CMS-HCC, ACG, and DxCG, which were built to forecast the risk of populations, but not at an individual level. While these models give a fairly good estimation of the risk of the population, they exhibit unsatisfactory estimation if used to predict the risk at an individual level.Innovaccer Inc., a healthcare data activation company, has taken a major step towards revolutionizing the way we identify
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Can Artifical Intelligence Solve The Chronic Kidney Disease Epidemic?
Chronic kidney disease (CKD) is a growing epidemic worldwide. Currently, there are 850 million individuals suffering from CKD globally, with 40 million in the United States alone. Of these individuals, 96 percent are not aware of having CKD, as kidney disease often exhibits no symptoms until it has progressed to a late stage.
As this epidemic continues to grow, healthcare providers and organizations are working to determine how artificial intelligence (AI) can be used to analyze electronic
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IBM Watson Health Invests $50M in AI to Tackle Public Health Issues
IBM Watson Health announced plans to make a 10-year, $50 million investment in joint research collaborations to advance the use of artificial intelligence (AI) to tackle public health issues. Brigham and Women’s Hospital – the teaching hospital of Harvard Medical School – and Vanderbilt University Medical Center have been selected as joint research partners. AI Research Focus AreasThe initial areas of study are expected to include the use of AI to improve the utility of electronic health records
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Infographic: Artificial Intelligence’s Role in Improving Healthcare
The artificial intelligence (AI) healthcare market is expected reach $6.6 billion by 2021, representing a compound annual growth rate (CAGR) of 40 percent over the next five years, according to a report from Accenture. AI in health represents a collection of multiple technologies enabling machines to sense, comprehend, act and learn so they can perform administrative and clinical healthcare functions. Unlike legacy technologies that are only algorithms/ tools that complement a human, health AI
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