{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,8]],"date-time":"2026-03-08T15:48:56Z","timestamp":1772984936028,"version":"3.50.1"},"reference-count":16,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2026,2,11]],"date-time":"2026-02-11T00:00:00Z","timestamp":1770768000000},"content-version":"vor","delay-in-days":10,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T00:00:00Z","timestamp":1769904000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Basic Research Program of China","doi-asserted-by":"publisher","award":["2024\u2010NHLHCRF\u2010TS\u201001"],"award-info":[{"award-number":["2024\u2010NHLHCRF\u2010TS\u201001"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Health Care Science"],"published-print":{"date-parts":[[2026,2]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Large language models (LLMs) have shown considerable promise in supporting clinical decision\u2010making. However, their adoption and evaluation in dermatology remains limited. This study aimed to explore the preferences of Chinese dermatologists regarding LLM\u2010generated responses in clinical psoriasis scenarios and to assess how they prioritize key quality dimensions, including accuracy, traceability, and logicality.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>A cross\u2010sectional, web\u2010based survey was conducted between December 25, 2024, and January 22, 2025, following the Checklist for Reporting Results of Internet E\u2010Surveys guidelines. A total of 1247 valid responses were collected from practicing dermatologists across 33 of China's provincial\u2010level administrative divisions. Participants evaluated responses to five categories of clinical questions (etiology, clinical presentation, differential diagnosis, treatment, and case study) generated by five LLMs: ChatGPT\u20104o, Kimi.ai, Doubao, ZuoYiGPT, and Lingyi\u2010agent. Statistical associations between participant characteristics and model preferences were examined using chi\u2010square tests.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      ChatGPT\u20104o (Model 1) emerged as the most preferred model across all clinical tasks, consistently receiving the highest number of votes in case study (\n                      <jats:italic>n<\/jats:italic>\n                      \u2009=\u2009740), clinical presentation (\n                      <jats:italic>n<\/jats:italic>\n                      \u2009=\u2009666), differential diagnosis (\n                      <jats:italic>n<\/jats:italic>\n                      \u2009=\u2009707), etiology (\n                      <jats:italic>n<\/jats:italic>\n                      \u2009=\u2009602), and treatment (\n                      <jats:italic>n<\/jats:italic>\n                      \u2009=\u2009656). Significant variation in model preference by professional title was observed only for the differential diagnosis task (\n                      <jats:italic>\u03c7<\/jats:italic>\n                      <jats:sup>2<\/jats:sup>\n                      \u2009=\u200921.13,\n                      <jats:italic>df<\/jats:italic>\n                      \u2009=\u200912,\n                      <jats:italic>p<\/jats:italic>\n                      \u2009=\u20090.0485), while no significant differences were found across hospital tiers (\n                      <jats:italic>p<\/jats:italic>\n                      \u2009&gt;\u20090.05). In terms of evaluation dimensions, accuracy was most frequently rated as \u201cvery important\u201d (\n                      <jats:italic>n<\/jats:italic>\n                      \u2009=\u2009635). A significant association existed between hospital tier and the most valued dimension (\n                      <jats:italic>\u03c7<\/jats:italic>\n                      <jats:sup>2<\/jats:sup>\n                      \u2009=\u200927.667,\n                      <jats:italic>df<\/jats:italic>\n                      \u2009=\u20099,\n                      <jats:italic>p<\/jats:italic>\n                      \u2009=\u20090.0011), with dermatologists in primary hospitals prioritizing traceability more than their peers in higher\u2010tier hospitals. No significant associations were found across professional titles (\n                      <jats:italic>p<\/jats:italic>\n                      \u2009=\u20090.127).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>Chinese dermatologists suggest a strong preference for ChatGPT\u20104o over domestic LLMs in psoriasis\u2010related clinical tasks. While accuracy remains the primary criterion, traceability and logicality are also critical, particularly for clinicians in lower\u2010tier hospitals. These findings suggest that future clinical LLMs should prioritize not only content accuracy but also source transparency and structural clarity to meet the diverse needs of different clinical settings.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/hcs2.70057","type":"journal-article","created":{"date-parts":[[2026,2,12]],"date-time":"2026-02-12T03:56:23Z","timestamp":1770868583000},"page":"40-48","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Preferences of Chinese Dermatologists for Large Language Model Responses in Clinical Psoriasis Scenarios: A Nationwide Cross\u2010Sectional Survey in China"],"prefix":"10.1002","volume":"5","author":[{"ORCID":"https:\/\/orcid.org\/0009-0002-4296-2737","authenticated-orcid":false,"given":"Jungang","family":"Yang","sequence":"first","affiliation":[{"name":"China\u2010Japan Friendship School of Clinical Medicine Peking University Beijing China"},{"name":"Department of Dermatology China\u2010Japan Friendship Hospital Beijing China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jingkai","family":"Xu","sequence":"additional","affiliation":[{"name":"Department of Dermatology China\u2010Japan Friendship Hospital Beijing China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xuejiao","family":"Song","sequence":"additional","affiliation":[{"name":"Department of Dermatology China\u2010Japan Friendship Hospital Beijing China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chengxu","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Dermatology China\u2010Japan Friendship Hospital Beijing China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lili","family":"Chen","sequence":"additional","affiliation":[{"name":"Department of Dermatology China\u2010Japan Friendship Hospital Beijing China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lingbo","family":"Bi","sequence":"additional","affiliation":[{"name":"Department of Dermatology China\u2010Japan Friendship Hospital Beijing China"},{"name":"Graduate School, Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tingting","family":"Jiang","sequence":"additional","affiliation":[{"name":"Department of Dermatology China\u2010Japan Friendship Hospital Beijing China"},{"name":"School of Life Science and Technology Southeast University Nanjing China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0212-2664","authenticated-orcid":false,"given":"Xianbo","family":"Zuo","sequence":"additional","affiliation":[{"name":"Department of Dermatology China\u2010Japan Friendship Hospital Beijing China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6314-3610","authenticated-orcid":false,"given":"Yong","family":"Cui","sequence":"additional","affiliation":[{"name":"China\u2010Japan Friendship School of Clinical Medicine Peking University Beijing China"},{"name":"Department of Dermatology China\u2010Japan Friendship Hospital Beijing 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