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    1. From the article 

      Artificial intelligence (AI) and other technologies are transforming healthcare in ways that erode its foundations built on bedside diagnosis.

      AI for image analysis and disease prediction is invaluable, but patient history, traditionally gathered by clinicians, can help diagnose up to 80% of clinical encounters.

      In the future, medicine should combine clinical judgment with the power of AI.

      Also from the article 

      The healthcare AI market is expected to reach $427.5 billion in size by 2032, with India and China dominating the Asia Pacific region due to strategic government support for technological advancement.

      However, the decline of bedside diagnosis and teaching is significant. In the 1960s, up to three-fourths of clinical teaching happened at the patient’s side. Now, some studies estimate that the median time spent at the bedside per day is just two-and-a-half minutes.

      While technology has undoubtedly improved diagnostic accuracy in many specializations, it has also unintentionally contributed to the gradual decline of bedside medicine, and has led to the erosion of the doctor-patient relationship.

    2. kayl_breinhar on

      I’m not worried about AI diagnoses as much as I am about AI *already* being used in the US to streamline insurance claim denials. What once took weeks is now done in seconds and the onus of correction is entirely on the patient and/or their caregivers/families, and the countdown to file a dispute starts pretty much immediately.

      Having managed to turn a $354,000 bill (and counting) for my mother’s lymphoma treatment into ~$7,000 (…and counting >.>) after untangling her primary coverage (still having issues with her supplementary policies), the best advice I can give for ~my fellow Americans~ is to make damned certain your „Coordination of Benefits“ (and your loved ones‘) is correct *before* you or a loved one ends up in inpatient in a hospital.

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