Incorporating AI Into Military Behavioral Health: A Narrative Review.

Journal: Military medicine
Published Date: May 6, 2025

Abstract

INTRODUCTION: Concerns regarding suicide rates and declining mental health among service members highlight the need for impactful approaches to address behavioral health needs of U.S. military populations and to improve force readiness. Research in civilian populations has revealed that artificial intelligence and machine learning (AI/ML) have the promise to advance behavioral health care in the following 6 domains: Education and Training, Screening and Assessment, Diagnosis, Treatment, Prognosis, and Clinical Documentation and Administrative Tasks.

Authors

  • Ann D McConnon
    Department of Medical and Clinical Psychology, Uniformed Services University of the Health Sciences, Bethesda, MD 20814, United States.
  • Airyn J Nash
    Department of Medical and Clinical Psychology, Uniformed Services University of the Health Sciences, Bethesda, MD 20814, United States.
  • John Ray Roberts
    Department of Medical and Clinical Psychology, Uniformed Services University of the Health Sciences, Bethesda, MD 20814, United States.
  • Shmuel Z Juni
    Department of Medical and Clinical Psychology, Uniformed Services University of the Health Sciences, Bethesda, MD 20814, United States.
  • Ashley Derenbecker
    Department of Medical and Clinical Psychology, Uniformed Services University of the Health Sciences, Bethesda, MD 20814, United States.
  • Patrice Shanahan
    Department of Medical and Clinical Psychology, Uniformed Services University of the Health Sciences, Bethesda, MD 20814, United States.
  • Andrew J Waters
    Department of Medical and Clinical Psychology, Uniformed Services University of the Health Sciences, Bethesda, MD 20814, United States.

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