Effectiveness of generative AI-large language models’ recognition of veteran suicide risk
A comparison with human mental health providers using a risk stratification model
Bibliographic Data
| ID | 15520288 |
|---|---|
| Authors | Sean Lauderdale (0000-0002-4807-1719, University of Houston - Clear Lake, corresponding author), Sean A Lauderdale, Randee Schmitt (0000-0002-9431-8196, University of Houston - Clear Lake), Breanna Wuckovich (University of Houston - Clear Lake), Natashaa Dalal, Hela Desai (University of Houston - Clear Lake), Sara Tomlinson (0009-0003-4971-6907, University of Houston - Clear Lake), Shealyn Tomlinson |
| Year | 2025 |
| Volume | 16 |
| Pages | 1544951-1544951 |
| Publication date | 2025-04-03 |
| 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.2025.1544951 |
| PMID | 40248601 |
| OpenAlex | W4409113625 |
| Language | EN |
| References cited | 40 |
These findings highlight the need for further research into optimizing GAI-LLMs for consistent and reliable use in clinical settings, ensuring they complement rather than replace human expertise
Computer security · Generative grammar · Mental health · Psychiatry · Risk assessment · Risk Stratification · Cardiac Arrest and Resuscitation · Computer Science · Medicine · Mental Health via Writing · Psychology · Suicide and Self-Harm Studies · Artificial Intelligence · Internal Medicine
Main predictions of the interpersonal–psychological theory of suicidal behavior
Attitudes and perspectives towards the preferences for artificial intelligence in psychotherapy
Measuring user competence in using artificial intelligence
Structured Professional Judgment to Assist the Evaluation and Safety Planning of Suicide Risk
Clinical model for suicide risk assessment
| Citation velocity | historical |
|---|---|
| Highly cited | No |