{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,11,3]],"date-time":"2026-11-03T10:58:30Z","timestamp":1793703510214,"version":"4.5.1"},"reference-count":28,"publisher":"SAGE Publications","license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["DIGITAL HEALTH"],"published-print":{"date-parts":[[2024,1]]},"abstract":"<jats:sec>\n                    <jats:title>Purpose<\/jats:title>\n                    <jats:p>Chat Generative Pre-trained Transformer (ChatGPT) is now utilized in various fields of healthcare in order to obtain answers to questions related to healthcare-related problems and to evaluate available information. Primary hyperparathyroidism is a common endocrine disorder. We aimed to evaluate the accuracy and quality of ChatGPT's responses to questions specific to hyperparathyroidism cases discussed at multidisciplinary endocrinology meetings.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>ChatGPT-4 was asked to respond to 10 hyperparathyroidism cases evaluated at multidisciplinary endocrinology meetings. The accuracy, completeness, and quality of the responses were scored independently by two endocrinologists. Accuracy and completeness were evaluated on the Likert scale, and quality was evaluated on the global quality scale (GQS).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>No misleading information was detected in the responses. In terms of diagnosis, the mean accuracy scores (ranging from 1 to 5) were 4.9\u2009\u00b1\u20090.1 and the mean completeness scores (ranging from 1 to 3) were 3.0. In the responses given in terms of further examination, the mean accuracy and completeness scores were 4.8\u2009\u00b1\u20090.13 and 2.6\u2009\u00b1\u20090.16, respectively. The mean accuracy and completeness scores for treatment recommendations were 4.9\u2009\u00b1\u20090.1 and 2.4\u2009\u00b1\u20090.16, respectively. The GQS evaluation result was 80% high quality and 20% medium quality.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>In this study, the accuracy and quality rates of ChatGPT-4 were generally high in responding to questions as to hyperparathyroidism patients. It can be concluded that artificial intelligence may serve as a valuable tool in healthcare. However, the limitations and risks of ChatGPT should also be evaluated.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1177\/20552076241278692","type":"journal-article","created":{"date-parts":[[2024,8,28]],"date-time":"2024-08-28T10:43:29Z","timestamp":1724841809000},"update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":4,"title":["Evaluation of the accuracy and quality of ChatGPT-4 responses for hyperparathyroidism patients discussed at multidisciplinary endocrinology meetings"],"prefix":"10.1177","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1390-7571","authenticated-orcid":false,"given":"I\u015f\u0131lay","family":"Ta\u015fkald\u0131ran","sequence":"first","affiliation":[{"name":"Department of Endocrinology and Metabolism, Ankara Training and Research Hospital, Ankara, Turkey"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"\u00c7a\u011fatay","family":"Emir \u00d6nder","sequence":"additional","affiliation":[{"name":"Department of Endocrinology and Metabolism, Ankara Training and Research Hospital, Ankara, Turkey"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"P\u00fcren","family":"G\u00f6kbulut","sequence":"additional","affiliation":[{"name":"Department of Endocrinology and Metabolism, Ankara Training and Research Hospital, Ankara, Turkey"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"G\u00f6n\u00fcl","family":"Ko\u00e7","sequence":"additional","affiliation":[{"name":"Department of Endocrinology and Metabolism, Ankara Training and Research Hospital, Ankara, Turkey"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"\u015eerife Mehlika","family":"Ku\u015fkonmaz","sequence":"additional","affiliation":[{"name":"Department of Endocrinology and Metabolism, Ankara Training and Research Hospital, Ankara, Turkey"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2024,8,28]]},"reference":[{"key":"bibr1-20552076241278692","unstructured":"OpenAI. Introducing ChatGPT [Internet]. OpenAI; c2015\u20132023 [cited 2023 Feb 10]. Available from: https:\/\/openai.com\/blog\/chatgpt."},{"key":"bibr2-20552076241278692","first-page":"87","volume":"11","author":"Sallam M","year":"2023","journal-title":"Healthcare (Basel, Switzerland)"},{"key":"bibr3-20552076241278692","doi-asserted-by":"publisher","DOI":"10.1038\/d41586-023-00340-6"},{"key":"bibr4-20552076241278692","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pdig.0000198"},{"key":"bibr5-20552076241278692","author":"Johnson D","year":"2023","journal-title":"Res Sq [Preprint]"},{"key":"bibr6-20552076241278692","doi-asserted-by":"publisher","DOI":"10.1007\/s00404-023-07130-5"},{"key":"bibr7-20552076241278692","doi-asserted-by":"publisher","DOI":"10.1016\/S1473-3099(23)00113-5"},{"key":"bibr8-20552076241278692","doi-asserted-by":"publisher","DOI":"10.1038\/s41366-024-01534-2"},{"key":"bibr9-20552076241278692","doi-asserted-by":"publisher","DOI":"10.3390\/jpm14040330"},{"key":"bibr10-20552076241278692","volume":"15","author":"K\u00f6ro\u011flu EY","journal-title":"Cureus"},{"key":"bibr11-20552076241278692","first-page":"193229682312039","author":"Meo SA","journal-title":"J Diabetes Sci Technol"},{"key":"bibr12-20552076241278692","doi-asserted-by":"publisher","DOI":"10.17219\/acem\/42626"},{"key":"bibr13-20552076241278692","doi-asserted-by":"publisher","DOI":"10.1007\/s11657-022-01064-2"},{"key":"bibr14-20552076241278692","doi-asserted-by":"publisher","DOI":"10.1038\/s41586-019-1799-6"},{"key":"bibr15-20552076241278692","doi-asserted-by":"publisher","DOI":"10.1016\/j.jmir.2019.07.010"},{"key":"bibr16-20552076241278692","doi-asserted-by":"publisher","DOI":"10.1002\/jbmr.4677"},{"key":"bibr17-20552076241278692","doi-asserted-by":"publisher","DOI":"10.1210\/jc.2014-1414"},{"key":"bibr18-20552076241278692","doi-asserted-by":"publisher","DOI":"10.4158\/EP-2018-0350"},{"key":"bibr19-20552076241278692","doi-asserted-by":"publisher","DOI":"10.1007\/s00268-017-4328-5"},{"key":"bibr20-20552076241278692","first-page":"96","volume":"67","author":"Talbot JN","journal-title":"Q J Nucl Med Mol Imaging"},{"key":"bibr21-20552076241278692","doi-asserted-by":"publisher","DOI":"10.1002\/jbmr.4677"},{"key":"bibr22-20552076241278692","doi-asserted-by":"publisher","DOI":"10.1002\/jbmr.4682"},{"key":"bibr23-20552076241278692","doi-asserted-by":"publisher","DOI":"10.1016\/j.jamcollsurg.2015.01.004"},{"key":"bibr24-20552076241278692","doi-asserted-by":"publisher","DOI":"10.1001\/archsurg.143.4.335"},{"key":"bibr25-20552076241278692","doi-asserted-by":"publisher","DOI":"10.1210\/jc.2014-1417"},{"key":"bibr26-20552076241278692","author":"Bommineni VL","year":"2023","journal-title":"medRxiv"},{"key":"bibr27-20552076241278692","doi-asserted-by":"publisher","DOI":"10.4174\/astr.2023.104.5.269"},{"key":"bibr28-20552076241278692","doi-asserted-by":"publisher","DOI":"10.14309\/ajg.0000000000002320"}],"container-title":["DIGITAL HEALTH"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.1177\/20552076241278692","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/full-xml\/10.1177\/20552076241278692","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.1177\/20552076241278692","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,28]],"date-time":"2026-04-28T17:49:36Z","timestamp":1777398576000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/10.1177\/20552076241278692"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,1]]},"references-count":28,"alternative-id":["10.1177\/20552076241278692"],"URL":"https:\/\/doi.org\/10.1177\/20552076241278692","relation":{},"ISSN":["2055-2076","2055-2076"],"issn-type":[{"value":"2055-2076","type":"print"},{"value":"2055-2076","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,1]]},"article-number":"20552076241278692"}}