{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,12]],"date-time":"2026-10-12T19:49:02Z","timestamp":1791834542019,"version":"4.3.4"},"reference-count":35,"publisher":"SAGE Publications","license":[{"start":{"date-parts":[[2026,10,9]],"date-time":"2026-10-09T00:00:00Z","timestamp":1791504000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["WORK: A Journal of Prevention, Assessment &amp; Rehabilitation"],"abstract":"<jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Artificial intelligence (AI)- supported ergonomic assessments identify occupational musculoskeletal risks, though agreement with physiotherapist-based evaluations remains insufficiently studied to date.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>This study aimed to investigate the relationship between AI-assisted ergonomic risk analysis and physiotherapist-based ergonomic assessments among young adults performing desk-based work.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>This cross-sectional study included 133 desk workers aged 18\u201325 years who used electronic devices at their desks for more than 4\u2005h per day. Ergonomic risk was evaluated using two methods: Rapid Upper Limb Assessment (RULA) and OpenAI ChatGPT. Pain intensity was measured with the Visual Analog Scale (VAS). Pearson correlation analysis assessed the relationship between RULA and ChatGPT scores. Receiver Operating Characteristic (ROC) analysis was performed to assess discriminative performance and determine the optimal cutoff value for the AI-based assessment.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>The participants\u2019 (48.9% females and 51.1% males) mean age was 24.02\u2009\u00b1\u20096.34 years. The mean RULA and ChatGPT scores were 4.65\u2009\u00b1\u20091.31 and 45.71\u2009\u00b1\u200916.31. A statistically significant positive correlation was observed between ChatGPT and RULA scores (r\u2009=\u20090.304, p\u2009&lt;\u20090.001). ROC analysis showed moderate discriminatory performance for the AI-based assessment (AUC\u2009=\u20090.659; 95% CI: 0.565\u20130.752; p\u2009=\u20090.002). The optimal cutoff for the ergonomic risk analysis using ChatGPT was 42.5, yielding 72.4% sensitivity and 56.0% specificity.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>AI-assisted ergonomic risk analysis showed moderate agreement with conventional physiotherapist-based assessments and may serve as a rapid, accessible screening tool for desk workers. Nevertheless, clinical interpretation by healthcare professionals remains essential for accurate ergonomic evaluation and decision-making.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1177\/10519815261495921","type":"journal-article","created":{"date-parts":[[2026,10,9]],"date-time":"2026-10-09T12:12:27Z","timestamp":1791547947000},"update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":0,"title":["Performance of a ChatGPT-based ergonomic assessment for desk-working posture in young adults"],"prefix":"10.1177","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7456-8895","authenticated-orcid":false,"given":"Ozde","family":"Depreli","sequence":"first","affiliation":[{"name":"Eastern Mediterranean University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8587-7407","authenticated-orcid":false,"given":"Zehra","family":"Guchan Topcu","sequence":"additional","affiliation":[{"name":"Eastern Mediterranean University"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2026,10,9]]},"reference":[{"key":"e_1_3_3_2_2","doi-asserted-by":"publisher","DOI":"10.1007\/s41542-024-00176-0"},{"key":"e_1_3_3_3_2","first-page":"761","article-title":"Ergonomic risk analysis of working postures for a textile factory worker","volume":"10","author":"\u0130mamo\u011flu G","year":"2024","unstructured":"\u0130mamo\u011flu G, Esi B. 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