{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,30]],"date-time":"2026-07-30T14:27:54Z","timestamp":1785421674093,"version":"3.56.0"},"reference-count":58,"publisher":"MDPI AG","issue":"11","license":[{"start":{"date-parts":[[2026,5,22]],"date-time":"2026-05-22T00:00:00Z","timestamp":1779408000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Deanship of Graduate Studies and Scientific Research at Jouf University","award":["DGSSR-2025-01-01168"],"award-info":[{"award-number":["DGSSR-2025-01-01168"]}]},{"award":["DGSSR-2025-01-01168"],"award-info":[{"award-number":["DGSSR-2025-01-01168"]}],"id":[{"id":"https:\/\/ror.org\/02zsyt821","id-type":"ROR","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JCM"],"abstract":"<jats:p>Background: Mental illness constitutes one of the greatest worldwide health burdens. The use of artificial intelligence (AI) and virtual reality (VR) is becoming increasingly relevant in mental health. Nevertheless, evidence regarding their integrated application remains sparse. This scoping review identified existing evidence on AI-integrated VR in mental health care, including clinical applications, reported outcomes, and future research directions. Methods: The Population, Concept, and Context framework was used as the eligibility criteria. The mental health-related studies considered were original studies that addressed explicit AI integration using VR systems or workflows and had at least one outcome or clinical or implementation finding. PubMed, Scopus, Web of Science, and PsycINFO were searched to retrieve English-language studies published between January 2020 and February 2026. Results: The available evidence is heterogeneous, generally small, and primarily focused on feasibility or predictive modeling. The focus of applications is on the assessment or prediction of anxiety spectrum conditions, trauma and post-traumatic stress disorders, stress, and panic disorder\/agoraphobia. Most of the research examines immersive VR with multimodal inputs and machine-learning-based prediction models. However, the field remains largely in an early stage, with a lack of standardization, implementation readiness, safety reporting, and real-world validation. Conclusions: AI-integrated VR can be considered as a promising but emerging field, and further development requires stricter, more clinically based, and implementation-focused studies that can help establish safe, effective, and scalable implementation in mental health care. Furthermore, pragmatic, multicenter research directly investigates whether AI-integrated VR has additional clinical value compared to regular VR or regular care in mental health care.<\/jats:p>","DOI":"10.3390\/jcm15113993","type":"journal-article","created":{"date-parts":[[2026,5,22]],"date-time":"2026-05-22T09:17:09Z","timestamp":1779441429000},"page":"3993","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Artificial Intelligence-Integrated Virtual Reality in Mental Health Care: A Scoping Review of Evidence, Clinical Applications, and Future Directions"],"prefix":"10.3390","volume":"15","author":[{"given":"Ahmed M.","family":"Alhuwaydi","sequence":"first","affiliation":[{"name":"Department of Internal Medicine, Division of Psychiatry, College of Medicine, Jouf University, Sakaka 72388, Saudi Arabia"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2026,5,22]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Fan, Y., Fan, A., Yang, Z., and Fan, D. 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