{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,2]],"date-time":"2026-07-02T10:49:36Z","timestamp":1782989376936,"version":"3.54.5"},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643686684","type":"electronic"}],"license":[{"start":{"date-parts":[[2026,6,29]],"date-time":"2026-06-29T00:00:00Z","timestamp":1782691200000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026,6,29]]},"abstract":"<jats:p>The launch of ChatGPT has raised interest in Generative Artificial Intelligence models and the way they can be applied across domains. In this study we focused on dermoscopic image labeling, using OpenAI\u2019s GPT-5 series to determine if there are improvements in labeling between the last versions: GPT-5, GPT-5.2 and GPT-5.4. The testing process uses three different formats: free answer, choosing between labels, and choosing between labels after providing patient metadata together with the images. The evaluation was carried out with paid ChatGPT Plus subscription deactivating the option \u201cImprove the model for everyone\u201d ensuring an unbiased testing. The models were tested using the Thinking variant during different timeframes. The results underline improvements in distinguishing melanoma across model iterations.<\/jats:p>","DOI":"10.3233\/shti260833","type":"book-chapter","created":{"date-parts":[[2026,7,2]],"date-time":"2026-07-02T10:00:25Z","timestamp":1782986425000},"source":"Crossref","is-referenced-by-count":0,"title":["GPT-5 Series for Dermoscopic Image Labeling"],"prefix":"10.3233","author":[{"ORCID":"https:\/\/orcid.org\/0009-0000-9685-5852","authenticated-orcid":false,"given":"Adela-Vasilica","family":"Gudiu","sequence":"first","affiliation":[{"name":"Politehnica University of Timi\u015foara, Romania"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9700-7732","authenticated-orcid":false,"given":"L\u0103cr\u0103mioara","family":"Stoicu-Tivadar","sequence":"additional","affiliation":[{"name":"Politehnica University of Timi\u015foara, Romania"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8966-6196","authenticated-orcid":false,"given":"Anca Daniela","family":"Ionita","sequence":"additional","affiliation":[{"name":"National University of Science and Technology Politehnica Bucharest, Romania"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","Health Sciences Informatics Leads and Empowers the Digital Health Transformation"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/SHTI260833","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,7,2]],"date-time":"2026-07-02T10:00:25Z","timestamp":1782986425000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/SHTI260833"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,6,29]]},"ISBN":["9781643686684"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/shti260833","relation":{},"ISSN":["0926-9630","1879-8365"],"issn-type":[{"value":"0926-9630","type":"print"},{"value":"1879-8365","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,6,29]]}}}