{"title":"人工智能在外科手术中的应用障碍:数据、实时应用和伦理","authors":"Tiago Cunha Reis","doi":"10.1002/med4.82","DOIUrl":null,"url":null,"abstract":"<p>This paper explores the critical barriers to AI integration in surgery, focusing on challenges in data management, real-time application and ethics. It emphasizes the need for robust data-sharing frameworks, advancements in real-time processing capabilities and ethical guidelines to ensure responsible AI deployment.\n <figure>\n <div><picture>\n <source></source></picture><p></p>\n </div>\n </figure></p>","PeriodicalId":100913,"journal":{"name":"Medicine Advances","volume":"2 4","pages":"380-383"},"PeriodicalIF":0.0000,"publicationDate":"2024-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/med4.82","citationCount":"0","resultStr":"{\"title\":\"The roadblocks to AI adoption in surgery: Data, real-time applications and ethics\",\"authors\":\"Tiago Cunha Reis\",\"doi\":\"10.1002/med4.82\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>This paper explores the critical barriers to AI integration in surgery, focusing on challenges in data management, real-time application and ethics. It emphasizes the need for robust data-sharing frameworks, advancements in real-time processing capabilities and ethical guidelines to ensure responsible AI deployment.\\n <figure>\\n <div><picture>\\n <source></source></picture><p></p>\\n </div>\\n </figure></p>\",\"PeriodicalId\":100913,\"journal\":{\"name\":\"Medicine Advances\",\"volume\":\"2 4\",\"pages\":\"380-383\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-12-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://onlinelibrary.wiley.com/doi/epdf/10.1002/med4.82\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Medicine Advances\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1002/med4.82\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Medicine Advances","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/med4.82","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The roadblocks to AI adoption in surgery: Data, real-time applications and ethics
This paper explores the critical barriers to AI integration in surgery, focusing on challenges in data management, real-time application and ethics. It emphasizes the need for robust data-sharing frameworks, advancements in real-time processing capabilities and ethical guidelines to ensure responsible AI deployment.