5 Topic Commentaries

What it takes to scale AI in health care

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  Lawrence A. Tabak, D.D.S., Ph.D.

  Biomedical research leadership; dentistry

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  National Institutes of Health

  Generating high-quality ethically sourced data sets is crucial for enabling the use of next-generation AI technologies that transform how we do research.

  Source
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  Robert M. Califf, M.D., MACC

  Cardiology; regulatory science

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  U.S. Food and Drug Administration

  Imagine an AI system that is connected by a data infrastructure that enables a continuous learning loop between current practice, decisions, and outcomes.

  Source
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  John D. Halamka, M.D., M.S.

  Biomedical informatics; emergency medicine

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  Mayo Clinic

  It has to be fully integrated into their workflow.

  Source
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  Danielle Bitterman, MD

  Radiation oncology; clinical AI in oncology

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  Harvard Medical School; Brigham and Women’s Hospital/Dana-Farber Cancer Institute

  We need to make it easier for clinicians and computer scientists to collaborate.

  Source
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  Julia Adler-Milstein, PhD

  Health informatics; implementation science

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  University of California, San Francisco

  Even implementing a single AI tool requires multiple skill sets and perspectives.

  Source