{"title":"人工智能在糖尿病护理中的应用：与专家审查相比，评估 GPT-4 审查糖尿病患者管理计划的能力","authors":"Agnibho Mondal, Arindam Naskar","doi":"10.1101/2024.04.12.24305732","DOIUrl":null,"url":null,"abstract":"<strong>Background</strong> The escalating global burden of diabetes necessitates innovative management strategies. Artificial intelligence, particularly large language models like GPT-4, presents a promising avenue for improving guideline adherence in diabetes care. Such technologies could revolutionize patient management by offering personalized, evidence-based treatment recommendations.","PeriodicalId":501419,"journal":{"name":"medRxiv - Endocrinology","volume":"27 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Artificial Intelligence in Diabetes Care: Evaluating GPT-4’s Competency in Reviewing Diabetic Patient Management Plan in Comparison to Expert Review\",\"authors\":\"Agnibho Mondal, Arindam Naskar\",\"doi\":\"10.1101/2024.04.12.24305732\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<strong>Background</strong> The escalating global burden of diabetes necessitates innovative management strategies. Artificial intelligence, particularly large language models like GPT-4, presents a promising avenue for improving guideline adherence in diabetes care. Such technologies could revolutionize patient management by offering personalized, evidence-based treatment recommendations.\",\"PeriodicalId\":501419,\"journal\":{\"name\":\"medRxiv - Endocrinology\",\"volume\":\"27 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-04-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"medRxiv - Endocrinology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1101/2024.04.12.24305732\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"medRxiv - Endocrinology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1101/2024.04.12.24305732","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Artificial Intelligence in Diabetes Care: Evaluating GPT-4’s Competency in Reviewing Diabetic Patient Management Plan in Comparison to Expert Review
Background The escalating global burden of diabetes necessitates innovative management strategies. Artificial intelligence, particularly large language models like GPT-4, presents a promising avenue for improving guideline adherence in diabetes care. Such technologies could revolutionize patient management by offering personalized, evidence-based treatment recommendations.
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