Applied artificial intelligence in healthcare: Listening to the winds of change in a post-COVID-19 world.

Journal: Experimental biology and medicine (Maywood, N.J.)
Published Date: Nov 25, 2022

Abstract

This editorial article aims to highlight advances in artificial intelligence (AI) technologies in five areas: Collaborative AI, Multimodal AI, Human-Centered AI, Equitable AI, and Ethical and Value-based AI in order to cope with future complex socioeconomic and public health issues.

Authors

  • Arash Shaban-Nejad
    UTHSC-ORNL Center for Biomedical Informatics and Department of Pediatrics, College of Medicine, The University of Tennessee Health Science Center, Memphis, TN 38163, USA.
  • Martin Michalowski
    School of Nursing, University of Minnesota-Twin Cities, Minneapolis, MN 55455, USA.
  • Simone Bianco
    Altos Labs Bay Area Institute of Science, Redwood City, CA 94065, USA.
  • John S Brownstein
    Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
  • David L Buckeridge
    Department of Epidemiology, Biostatistics, and Occupational Health, McGill University, Montreal, Québec, Canada.
  • Robert L Davis
    Center for Biomedical Informatics, Department of Pediatrics, University of Tennessee Health Science Center, Memphis, TN.

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