Brototo Deb MD, MIDS , Michael Fradley MD , Stephen Cook MD , Geoffrey D. Barnes MD, MSc
{"title":"Evaluation of Information About Cardiovascular Implications of Gender-Affirming Care From Online Chat-based Artificial Intelligence Systems","authors":"Brototo Deb MD, MIDS , Michael Fradley MD , Stephen Cook MD , Geoffrey D. Barnes MD, MSc","doi":"10.1016/j.cjco.2024.11.020","DOIUrl":null,"url":null,"abstract":"<div><div>Because of restrictive laws in multiple states for gender-affirming care, patients might be prompted to get recommendations from contemporary online chatbots. This study explored the appropriateness of such recommendations using validated tools to assess patient education materials by a team of LGBTQ-affirming cardiologists. The study showed that although all systems emphasize the need for multidisciplinary care, there were notable differences in the comprehensiveness, cultural appropriateness, and presentation of their responses. GPT-4 (<span><span>https://chatbotapp.ai</span><svg><path></path></svg></span>) and Gemini (<span><span>https://gemini.google.com/app</span><svg><path></path></svg></span>) outperformed Bing (<span><span>https://copilot.microsoft.com</span><svg><path></path></svg></span>), particularly in the balanced and culturally sensitive delivery of information.</div></div>","PeriodicalId":36924,"journal":{"name":"CJC Open","volume":"7 3","pages":"Pages 338-343"},"PeriodicalIF":2.5000,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"CJC Open","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2589790X24006000","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/11/30 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"CARDIAC & CARDIOVASCULAR SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
Because of restrictive laws in multiple states for gender-affirming care, patients might be prompted to get recommendations from contemporary online chatbots. This study explored the appropriateness of such recommendations using validated tools to assess patient education materials by a team of LGBTQ-affirming cardiologists. The study showed that although all systems emphasize the need for multidisciplinary care, there were notable differences in the comprehensiveness, cultural appropriateness, and presentation of their responses. GPT-4 (https://chatbotapp.ai) and Gemini (https://gemini.google.com/app) outperformed Bing (https://copilot.microsoft.com), particularly in the balanced and culturally sensitive delivery of information.
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