Caution Needed With Artificial Intelligence in Medicine, Experts Warn

Source: Medscape

Current hype surrounding machine learning and artificial intelligence (AI) in medicine is enormous, with seemingly daily headlines declaring that some new model will change how a disease is diagnosed or treated. Experts are more cautious, though, with several speakers at the recent Human Intelligence and Artificial Intelligence in Medicine Symposium warning that there is significant potential for patient harm if AI is rushed into clinic without sufficient testing and regulation, according to a report in Medscape.

AI-based clinical decision support and predictive models get a lot of attention in journals and the media, but the data available thus far are inadequate to support clinical uptake. There are no prospective, peer-reviewed data published for any of them, Eric Topol, MD, said during a keynote address at the symposium.

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