ReviewFrontiers in psychology2026
Artificial intelligence in college students' mental health education: opportunities, challenges, and strategic responses.
Review in Frontiers in psychology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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0 citing papers in PubMed.
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Authors and funding
4 authors.
Funding
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Abstract
Mental health challenges among college students have become a growing global concern, placing increasing pressure on higher education systems to provide effective, scalable, and equitable mental health education and support. This narrative review examines the opportunities, challenges, and strategic responses associated with integrating artificial intelligence (AI) into college students' mental health education. To improve conceptual clarity, it distinguishes educationally oriented AI applications from adjacent domains, including prevention-oriented support, early detection and screening, and supportive quasi-clinical intervention. The review identifies three main opportunity domains: personalized support for self-regulation and mental health learning, AI-assisted early awareness and prevention, and expanded accessibility and institutional reach. It also highlights key challenges related to ethical governance and privacy, accuracy and reliability, and digital divide and inclusivity issues. In response, the review emphasizes the need to strengthen ethical frameworks, improve system reliability and cultural responsiveness, and promote digital and AI literacy within higher education. Overall, current evidence suggests that AI can serve as a valuable complement to professional services and human-centered educational practices. However, the evidence base remains largely short-term and context-dependent, underscoring the need for longitudinal research, stronger institutional governance, and more inclusive implementation strategies. Responsible AI integration therefore requires a balanced, education-centered approach aligned with equity, student well-being, and institutional responsibility.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.