5 Topic Commentaries

What happens to clinical skills when AI does the routine work?

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  Bernard S. Chang, MD, MMSc

  Neurology; Medical Education

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  Harvard Medical School

  We need to be cautious about hallucinations and misinformation, bias, an erosion of fundamentals in learning, and an over-reliance on machines.

  Source
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  Gurpreet Dhaliwal, MD

  Internal Medicine; Clinical Reasoning

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  University of California, San Francisco

  Just because you have a Japanese-English dictionary in your desk doesn’t mean you’re fluent in Japanese.

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  Christian Rose, MD

  Emergency Medicine; Clinical Informatics

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  Stanford University School of Medicine

  However, we are concerned that this technology may threaten ground truth, propagate biases and further dissociate clinicians from their most human skills.

  Source
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  Daniel L. Rubin, MD, MS

  Radiology; Biomedical Informatics

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  Stanford University

  There is likewise danger to radiologists relying too heavily on new AI technologies, which may reduce their attention and perceptive skills.

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  Ezekiel J. Emanuel, MD, PhD

  Medical Ethics and Health Policy; Oncology

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  University of Pennsylvania

  Such deskilling seems inevitable without intentional upskilling programs or AI nonuse.

  Source