{"title":"评估多模态大型语言模型（GPT-4 视觉和大型语言与视觉助手）在识别不同肤色黑色素瘤中的实用性。","authors":"Katrina Cirone, Mohamed Akrout, Latif Abid, Amanda Oakley","doi":"10.2196/55508","DOIUrl":null,"url":null,"abstract":"<p><p>The large language models GPT-4 Vision and Large Language and Vision Assistant are capable of understanding and accurately differentiating between benign lesions and melanoma, indicating potential incorporation into dermatologic care, medical research, and education.</p>","PeriodicalId":73553,"journal":{"name":"JMIR dermatology","volume":"7 ","pages":"e55508"},"PeriodicalIF":0.0000,"publicationDate":"2024-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10973960/pdf/","citationCount":"0","resultStr":"{\"title\":\"Assessing the Utility of Multimodal Large Language Models (GPT-4 Vision and Large Language and Vision Assistant) in Identifying Melanoma Across Different Skin Tones.\",\"authors\":\"Katrina Cirone, Mohamed Akrout, Latif Abid, Amanda Oakley\",\"doi\":\"10.2196/55508\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>The large language models GPT-4 Vision and Large Language and Vision Assistant are capable of understanding and accurately differentiating between benign lesions and melanoma, indicating potential incorporation into dermatologic care, medical research, and education.</p>\",\"PeriodicalId\":73553,\"journal\":{\"name\":\"JMIR dermatology\",\"volume\":\"7 \",\"pages\":\"e55508\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-03-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10973960/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"JMIR dermatology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2196/55508\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Medicine\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"JMIR dermatology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2196/55508","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Medicine","Score":null,"Total":0}
Assessing the Utility of Multimodal Large Language Models (GPT-4 Vision and Large Language and Vision Assistant) in Identifying Melanoma Across Different Skin Tones.
The large language models GPT-4 Vision and Large Language and Vision Assistant are capable of understanding and accurately differentiating between benign lesions and melanoma, indicating potential incorporation into dermatologic care, medical research, and education.
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