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Professional scarcity, the absence of individualized treatments, and access to mental health assistance only in limited regions creates problems in mental health care. These issues can fundamentally be solved with the introduction of AI. AI has powerful applications in the realm of mental health care, including systematic classification and analysis of data, as well as facilitating tracking and predictive treatment that leads to personalized medicine. Chatbots, predictive analysis and cognitive computing try to give precise diagnosis by facing the unsolved challenges in the empiric domain of cognitive sciences. This review attempts to highlight the need for multidisciplinary collaboration and more research so that mental health care AI systems are more inclusive.

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A Systematic Review of AI-Driven Personalized Mental Health Interventions

  • 会议论文

  • 发表日期：

    2026年

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  • Kumkum Saxena,
  • Akshay Rathod,
  • Shagun Gupta,
  • Archie Shah,
  • Deep Prajapati

摘要

Professional scarcity, the absence of individualized treatments, and access to mental health assistance only in limited regions creates problems in mental health care. These issues can fundamentally be solved with the introduction of AI. AI has powerful applications in the realm of mental health care, including systematic classification and analysis of data, as well as facilitating tracking and predictive treatment that leads to personalized medicine. Chatbots, predictive analysis and cognitive computing try to give precise diagnosis by facing the unsolved challenges in the empiric domain of cognitive sciences. This review attempts to highlight the need for multidisciplinary collaboration and more research so that mental health care AI systems are more inclusive.