{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,5]],"date-time":"2026-08-05T08:52:07Z","timestamp":1785919927206,"version":"3.56.0"},"reference-count":45,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2026,8,5]],"date-time":"2026-08-05T00:00:00Z","timestamp":1785888000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Psychol."],"abstract":"<jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Schizophrenia spectrum disorders (SSDs) are marked by cognitive deficits, functional impairment, and notable treatment gap in India, with lifetime prevalence of 1.41%, current prevalence as 0.42%, and the gap of 72%, added by a severe workforce gap, that is, 0.75 psychiatrists per 100,000 and 0.29 clinical psychologists per 100,000. Scalable tools are required by the psychologists that can fill the substantial urban-rural gap.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Aim<\/jats:title>\n                    <jats:p>To evaluate how effective, feasible, and clinically applicable AI-powered cognitive remediation is, emphasizing India\/LMIC contexts.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>PRISMA-guided umbrella review with narrative synthesis of records published between 2020\u20132026, identified 48 studies (14 randomized controlled trials (RCTs), 22 reviews, 8 pilots, and 4 bibliometric studies) across PubMed, Scopus, Web of Science. Cognition, functioning, and feasibility, retention, and usability were included as outcome measures.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>AI-based AI-powered cognitive remediation showed generally favorable effects. Reported effect sizes ranged from moderate to large across different interventions and outcomes. VR-based social-cognition training showed largest benefits and smartphone-based programs showed promise for working memory and engagement. Hybrid or monitored formats showed generally better retention and usability than fully self-directed interventions. However, the evidence remained heterogeneous, and many findings came from small studies, feasibility work, or reviews of mixed quality.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>AI-powered CRT appears to be a promising model for schizophrenia rehabilitation when delivered through psychologist-monitored hybrid models. Such approaches may improve access, support rural and semi-rural service delivery, and help reduce the treatment gap through scalable, culturally adaptable, and technology-enabled care, especially in rural India.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.3389\/fpsyg.2026.1873888","type":"journal-article","created":{"date-parts":[[2026,8,5]],"date-time":"2026-08-05T08:40:26Z","timestamp":1785919226000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["AI-powered cognitive remediation for schizophrenia: a psychologist's lens on evidence and scalability in India"],"prefix":"10.3389","volume":"17","author":[{"given":"Drishti","family":"Gehlot","sequence":"first","affiliation":[{"name":"Department of Psychology, School of Vedic Sciences, MIT Art, Design and Technology University","place":["Pune, India"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sheetal","family":"Musale","sequence":"additional","affiliation":[{"name":"Department of Psychology, School of Vedic Sciences, MIT Art, Design and Technology University","place":["Pune, India"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1965","published-online":{"date-parts":[[2026,8,5]]},"reference":[{"key":"B1","doi-asserted-by":"publisher","first-page":"e70916","DOI":"10.2196\/70916","article-title":"Feasibility and acceptability of remotely accessed compensatory cognitive training for Japanese people with schizophrenia: pilot study","volume":"9","author":"Aijo","year":"2025","journal-title":"JMIR Format. 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