TY - JOUR AU - Stroud, Austin M AU - Curtis, Susan H AU - Weir, Isabel B AU - Stout, Jeremiah J AU - Barry, Barbara A AU - Bobo, William V AU - Athreya, Arjun P AU - Sharp, Richard R PY - 2025 DA - 2025/2/10 TI - Physician Perspectives on the Potential Benefits and Risks of Applying Artificial Intelligence in Psychiatric Medicine: Qualitative Study JO - JMIR Ment Health SP - e64414 VL - 12 KW - artificial intelligence KW - machine learning KW - digital health KW - mental health KW - psychiatry KW - depression KW - interviews KW - family medicine KW - physicians KW - qualitative KW - providers KW - attitudes KW - opinions KW - perspectives KW - ethics AB - Background: As artificial intelligence (AI) tools are integrated more widely in psychiatric medicine, it is important to consider the impact these tools will have on clinical practice. Objective: This study aimed to characterize physician perspectives on the potential impact AI tools will have in psychiatric medicine. Methods: We interviewed 42 physicians (21 psychiatrists and 21 family medicine practitioners). These interviews used detailed clinical case scenarios involving the use of AI technologies in the evaluation, diagnosis, and treatment of psychiatric conditions. Interviews were transcribed and subsequently analyzed using qualitative analysis methods. Results: Physicians highlighted multiple potential benefits of AI tools, including potential support for optimizing pharmaceutical efficacy, reducing administrative burden, aiding shared decision-making, and increasing access to health services, and were optimistic about the long-term impact of these technologies. This optimism was tempered by concerns about potential near-term risks to both patients and themselves including misguiding clinical judgment, increasing clinical burden, introducing patient harms, and creating legal liability. Conclusions: Our results highlight the importance of considering specialist perspectives when deploying AI tools in psychiatric medicine. SN - 2368-7959 UR - https://mental.jmir.org/2025/1/e64414 UR - https://doi.org/10.2196/64414 UR - http://www.ncbi.nlm.nih.gov/pubmed/39928397 DO - 10.2196/64414 ID - info:doi/10.2196/64414 ER -