Research Highlights the Role of Artificial Intelligence in University Student Mental Health

Strategic Insights -

New research has shed light on the significance of mental health issues among university students, with a particular focus on the impact of artificial intelligence (AI) on students' psychological well-being. The study, conducted by the Department of Psychology at Fujairah University, utilized bibliometric methods to analyze publications on AI and university student mental health from the Scopus, Web of Science, and PubMed databases. The research revealed that depression and anxiety were the primary mental health concerns, with machine learning and deep learning being the most commonly applied AI techniques in this area.

Key Takeaways:

  • The study analyzed 173 papers on AI and university student mental health, revealing a slow increase in yearly publications that peaked in 2024.
  • The most frequently publishing journal in this area was Frontiers in Psychology, with significant contributions from China, the Philippines, the United States, and their affiliated universities.
  • Depression and anxiety were the main mental health issues addressed in the studied papers, with machine learning and deep learning being the most applied AI techniques.
  • The study highlighted the need for improved international and interdisciplinary cooperation in addressing the mental health concerns of university students.
  • The researchers concluded that their study provides an overview of the role of AI in student mental health, offering insights for professionals to assess the benefits, risks, and consequences of AI in this domain.

Statistics:

  • 173 papers were included in the study, which analyzed the role of AI in university student mental health.
  • The study revealed a slow increase in yearly publications, peaking in 2024.
  • Frontiers in Psychology was the most frequently publishing journal in this area, with [number of papers] papers published.
  • The top countries contributing to the research on AI and university student mental health were China ( [number of papers] ), the Philippines ( [number of papers] ), and the United States ( [number of papers] ).
  • Machine learning and deep learning were the most applied AI techniques in addressing mental health concerns among university students.

Sources:

  • The role of AI in university students' mental health: a bibliometric review. Discover Social Science and Health, 2025,5(1):1-20.
  • NewsRx. Research from Department of Psychology Yields New Findings on Mental Health Diseases and Conditions (The role of AI in university students' mental health: a bibliometric review). Mental Health Weekly Digest. October 20, 2025; p 834.