{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,2]],"date-time":"2026-09-02T11:17:56Z","timestamp":1788347876903,"version":"build-2803163510"},"reference-count":15,"publisher":"Wiley","issue":"5","license":[{"start":{"date-parts":[[2026,9,2]],"date-time":"2026-09-02T00:00:00Z","timestamp":1788307200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"},{"start":{"date-parts":[[2026,9,2]],"date-time":"2026-09-02T00:00:00Z","timestamp":1788307200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Laryngoscope Investig Oto"],"published-print":{"date-parts":[[2026,10]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Objectives<\/jats:title>\n                    <jats:p>Large language models (LLMs) are increasingly proposed as clinical decision\u2010support tools; however, their agreement with real\u2010world multidisciplinary tumor board (MDT) decisions remains insufficiently investigated in thyroid oncology. To evaluate the concordance between treatment recommendations generated by ChatGPT 5.2 and Gemini 3.0 and decisions made by a tertiary multidisciplinary thyroid tumor board.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>\n                      This study included 59 consecutive patients discussed at a tertiary MDT between August and December 2025. Anonymized clinical data, including demographics, ultrasonographic findings, and Bethesda cytology, were provided to both LLMs using standardized structured prompts. MDT decisions were defined as the reference standard. Agreement was assessed using exact concordance rates and Cohen's kappa (\n                      <jats:italic>\u03ba<\/jats:italic>\n                      ) statistics with 95% confidence intervals.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      ChatGPT 5.2 achieved a concordance rate of 71.2% (42\/59), demonstrating substantial agreement (\n                      <jats:italic>\u03ba<\/jats:italic>\n                      \u2009=\u20090.623; 95% CI 0.459\u20130.771). Gemini 3.0 showed a concordance rate of 64.4% (38\/59), reflecting moderate agreement (\n                      <jats:italic>\u03ba<\/jats:italic>\n                      \u2009=\u20090.527; 95% CI 0.359\u20130.684). Discordance increased in complex scenarios involving lateral neck dissection, radioactive iodine therapy, and active surveillance.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>While LLMs demonstrate promising concordance in standardized thyroid cancer management, they are best positioned as supportive decision aids\u2014such as in MDT preparation and workflow streamlining\u2014rather than replacements for expert multidisciplinary evaluation, particularly in complex clinical scenarios.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Level of Evidence<\/jats:title>\n                    <jats:p>3.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/lio2.70547","type":"journal-article","created":{"date-parts":[[2026,9,2]],"date-time":"2026-09-02T11:01:27Z","timestamp":1788346887000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Large Language Models Versus Multidisciplinary Tumor Board Decisions in Thyroid Cancer"],"prefix":"10.1002","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2304-7963","authenticated-orcid":false,"given":"Bayram Bar\u0131\u015f","family":"B\u00fcy\u00fck","sequence":"first","affiliation":[{"name":"Department of Otorhinolaryngology University of Health Sciences Ankara Dr. Abdurrahman Yurtaslan Oncology Training and Research Hospital  Ankara Turkey"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8433-4769","authenticated-orcid":false,"given":"Arzu","family":"Or Koca","sequence":"additional","affiliation":[{"name":"Department of Endocrinology and Metabolism Dr. Abdurrahman Yurtaslan Ankara Onkoloji Education and Research Hospital, University of Health Sciences  Ankara Turkey"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5952-7718","authenticated-orcid":false,"given":"Felat","family":"Toprak","sequence":"additional","affiliation":[{"name":"Department of Otorhinolaryngology University of Health Sciences Ankara Dr. Abdurrahman Yurtaslan Oncology Training and Research Hospital  Ankara Turkey"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6311-1785","authenticated-orcid":false,"given":"Asl\u0131","family":"Ayan","sequence":"additional","affiliation":[{"name":"Department of Nuclear Medicine Gulhane School of Medicine University of Health Sciences  Ankara Turkey"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3321-5772","authenticated-orcid":false,"given":"Tuncay","family":"Tun\u00e7can","sequence":"additional","affiliation":[{"name":"Department of Otorhinolaryngology University of Health Sciences Ankara Dr. Abdurrahman Yurtaslan Oncology Training and Research Hospital  Ankara Turkey"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9469-1468","authenticated-orcid":false,"given":"Ay\u00e7a","family":"Arslan","sequence":"additional","affiliation":[{"name":"Department of Otorhinolaryngology University of Health Sciences Ankara Dr. Abdurrahman Yurtaslan Oncology Training and Research Hospital  Ankara Turkey"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4121-7439","authenticated-orcid":false,"given":"ArzuBet\u00fcl","family":"Duran","sequence":"additional","affiliation":[{"name":"Department of Otorhinolaryngology University of Health Sciences Ankara Dr. Abdurrahman Yurtaslan Oncology Training and Research Hospital  Ankara Turkey"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0414-3995","authenticated-orcid":false,"given":"Elif","family":"Akyol \u015een","sequence":"additional","affiliation":[{"name":"Department of Otorhinolaryngology University of Health Sciences Ankara Dr. Abdurrahman Yurtaslan Oncology Training and Research Hospital  Ankara Turkey"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-4657-436X","authenticated-orcid":false,"given":"\u00d6mer Semih","family":"Budak","sequence":"additional","affiliation":[{"name":"Department of Otorhinolaryngology University of Health Sciences Ankara Dr. Abdurrahman Yurtaslan Oncology Training and Research Hospital  Ankara 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