Effectiveness of artificial intelligence chatbots on mental health & well-being in college students
A rapid systematic review
Bibliographic Data
| ID | 15525399 |
|---|---|
| Authors | Shahzadhi Nyakhar (University of Florida Health, corresponding author), Hongwu Wang (0000-0003-0449-715X, University of Florida Health) |
| Year | 2025 |
| Volume | 16 |
| Pages | 1621768-1621768 |
| Publication date | 2025-10-21 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Frontiers in Psychiatry (JOURNAL) |
| Journal identifiers | ISSN: 1664-0640 • E-ISSN: 1664-0640 |
| Publisher | Frontiers Media (PUBLISHER • CH) |
| DOI | 10.3389/fpsyt.2025.1621768 |
| PMID | 41195352 |
| OpenAlex | W4415373278 |
| Language | EN |
| Citations received | 2 |
| References cited | 4 |
Though the use of chatbots for the improvement of mental health and well-being is promising based on the review's results, future research should prioritize rigorous RCTs, standardized outcome measures (e.g., PHQ-9, GAD-7), and strategies to improve attrition
Chatbot · Emotional intelligence · MEDLINE · Mental health · Outcome (game theory · COVID-19 and Mental Health · Digital Mental Health Interventions · Mental Health Research Topics
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| Unique citing works | 2 |
|---|---|
| Citations per year | 2 |
| Citation span | 2026 - 2026 (1) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 2 |