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August 13, 2026Psychiatric Research and Clinical PracticeOpen Access

Artificial Intelligence in Psychiatry: Five Decades of Progress and Persistent Translational Challenges

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Authors

EZEsteban Zavaleta‐MonestelLHLuis Guillermo Herrera-JiménezSSSofía Suárez-Sánchez

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Overview

This review examines AI's evolution and barriers to its clinical translation in psychiatry, indicating critical areas for improvement.

Key Points

  • This review aims to analyze the development of artificial intelligence in psychiatry over five decades and identify barriers to its clinical use.
  • Utilized a structured source-identification approach across multiple databases, including PubMed/MEDLINE and Google Scholar.
  • Synthesized qualitative data and organized it chronologically by milestones in AI development in psychiatry.
  • Created a structured evidence table summarizing key elements like AI paradigms and implementation challenges.
  • Evolution of psychiatric AI from rule-based systems to advanced machine learning models and tools.
  • Persistent barriers include uncertain target validity, poor transportability, and challenges in integration and governance.
  • Technical progress is cyclical, struggling to resolve clinical and implementation challenges across different eras.

Cite This Study

Zavaleta‐Monestel et al. (2026) studied this question.

synapsesocial.com/papers/6a7d76c82b0e0cff3f64065dhttps://doi.org/10.1176/appi.prcp.20260059
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