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Area of Science:

  • Military health research
  • Behavioral health informatics
  • Artificial intelligence in healthcare

Background:

  • Rising suicide rates and declining mental health in service members necessitate innovative behavioral health solutions.
  • Artificial intelligence and machine learning (AI/ML) offer potential advancements in six key behavioral health domains.

Purpose of the Study:

  • To review the current state of AI/ML research in U.S. military behavioral health.
  • To identify promising applications and challenges of AI/ML in military mental healthcare.

Main Methods:

  • Conducted a narrative review of U.S. military studies involving AI/ML in behavioral health.
  • Searched Embase, PubMed, PsycInfo, and DTIC for research published between 2019 and 2024.
  • Included nine studies in the final review.

Main Results:

  • Research on AI/ML in military behavioral health is less extensive than in civilian populations.
  • AI/ML shows promise in screening, assessment, diagnosis, and prognosis for military mental health.
  • Initial results indicate potential for predicting negative mental health outcomes.

Conclusions:

  • AI/ML has significant potential to enhance military behavioral health services, including training, treatment, and administration.
  • Challenges exist for integrating AI/ML, requiring consideration of service member, provider, and system perspectives.