Leveraging physiology and artificial intelligence to deliver advancements in health care.

Journal: Physiological reviews
Published Date: Apr 27, 2023

Abstract

Artificial intelligence in health care has experienced remarkable innovation and progress in the last decade. Significant advancements can be attributed to the utilization of artificial intelligence to transform physiology data to advance health care. In this review, we explore how past work has shaped the field and defined future challenges and directions. In particular, we focus on three areas of development. First, we give an overview of artificial intelligence, with special attention to the most relevant artificial intelligence models. We then detail how physiology data have been harnessed by artificial intelligence to advance the main areas of health care: automating existing health care tasks, increasing access to care, and augmenting health care capabilities. Finally, we discuss emerging concerns surrounding the use of individual physiology data and detail an increasingly important consideration for the field, namely the challenges of deploying artificial intelligence models to achieve meaningful clinical impact.

Authors

  • Angela Zhang
    Department of Genetics, Stanford University, Stanford, CA, USA.
  • Zhenqin Wu
    Department of Chemistry , Stanford University , Stanford , CA 94305 , USA . Email: pande@stanford.edu.
  • Eric Wu
    Department of Electrical Engineering, Stanford University, Stanford, CA, USA.
  • Matthew Wu
    Department of Medical Imaging, St. Michael's Hospital, Unity Health Toronto, Toronto, Canada.
  • Michael P Snyder
    Department of Genetics, Stanford School of Medicine, Stanford, CA 94305, USA.
  • James Zou
    Department of Biomedical Data Science, Stanford University, Stanford, California.
  • Joseph C Wu

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