The recent surveys, studies, forecasts and other quantitative assessments of the health and progress of AI found that Americans are evenly divided over its promise or peril while not entirely sure what it is; that they are increasingly unhappy with technology companies that develop AI; that psychiatrists don't see AI replacing them but ad copywriters may want to consider other vocations; that the data that feeds and nourish AI keeps getting into the wrong hands; and that AI may assist radiologists, cardiologists, and fast-food chains. Glass half full? 50% of American consumers feel "optimistic and informed" about AI while the other half feel "fearful and uninformed" about AI [Blumberg Capital surveys of 1,000 U.S. consumers aged 18 ] Do you trust AI? 67% of Americans believe that self-driving cars will be safer than human-operated cars; 44% say that if a self-driving Uber car picked them up, they would get in; 87% say a licensed driver should be behind the wheel ready to take control if needed; 35% say they would never drive in a self-driving car [DriversED.com Do you trust the companies that develop AI? Only 50% of Americans believe technology companies have a positive impact on their country, down from 71% four years ago. Negative views of technology companies' impact on the U.S. have nearly doubled during this period, from 17% to 33% [Pew Research Center phone survey of 1,502 adults July 2019] AI may not replace psychiatrists: Only 3.8% of 791 psychiatrists surveyed in 22 countries felt that AI/ML was likely to replace a human clinician for providing empathetic care; documenting (e.g.

New York: Artificial Intelligence (AI) can detect the signs of an irregular heart rhythm - atrial fibrillation (AF) in an electrocardiogram (EKG), even if the heart is in normal rhythm at the time of a test, says new Mayo Clinic research. The AI-enabled EKG can detect recent atrial fibrillation that occurred without symptoms or that is impending, potentially improving treatment options. The research could improve the efficiency of the EKG, a noninvasive and widely available method of heart disease screening, said the study published in The Lancet. While common, atrial fibrillation often is fleeting and is challenging to diagnose. "When people come in with a stroke, we really want to know if they had atrial fibrillation in the days before the stroke, because it guides the treatment," said Paul Friedman, Chair of the Department of Cardiovascular Medicine at Mayo Clinic.

Posted on January 15th, 2019 by Dr. Francis Collins Thanks to advances in wearable health technologies, it's now possible for people to monitor their heart rhythms at home for days, weeks, or even months via wireless electrocardiogram (EKG) patches. In fact, my Apple Watch makes it possible to record a real-time EKG whenever I want. For true medical benefit, however, the challenge lies in analyzing the vast amounts of data--often hundreds of hours worth per person--to distinguish reliably between harmless rhythm irregularities and potentially life-threatening problems. Now, NIH-funded researchers have found that artificial intelligence (AI) can help. A powerful computer "studied" more than 90,000 EKG recordings, from which it "learned" to recognize patterns, form rules, and apply them accurately to future EKG readings.