{"title":"外科手术中的人工智能:持续创新需要什么","authors":"Vivek Singh, Shubha Vasisht, Daniel A Hashimoto","doi":"10.1016/j.mpsur.2024.12.005","DOIUrl":null,"url":null,"abstract":"<div><div>Artificial intelligence (AI) is rapidly transforming various fields, including surgery. AI's ability to process large datasets and deliver real-time insights has the potential to enhance diagnostic accuracy, risk prediction, and intraoperative decision-making. However, challenges such as algorithmic bias, data privacy, and the need for surgeon AI literacy hinder broader implementation. While AI holds significant potential to revolutionize surgical practice, its safe and effective integration requires improved AI literacy among surgeons and more effective regulatory frameworks. Addressing these challenges will be critical to ensuring that AI enhances, rather than disrupts, patient care. This paper reviews the integration of AI into surgery, examining its current applications, challenges, and future directions.</div></div>","PeriodicalId":74889,"journal":{"name":"Surgery (Oxford, Oxfordshire)","volume":"43 3","pages":"Pages 129-134"},"PeriodicalIF":0.0000,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Artificial intelligence in surgery: what is needed for ongoing innovation\",\"authors\":\"Vivek Singh, Shubha Vasisht, Daniel A Hashimoto\",\"doi\":\"10.1016/j.mpsur.2024.12.005\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Artificial intelligence (AI) is rapidly transforming various fields, including surgery. AI's ability to process large datasets and deliver real-time insights has the potential to enhance diagnostic accuracy, risk prediction, and intraoperative decision-making. However, challenges such as algorithmic bias, data privacy, and the need for surgeon AI literacy hinder broader implementation. While AI holds significant potential to revolutionize surgical practice, its safe and effective integration requires improved AI literacy among surgeons and more effective regulatory frameworks. Addressing these challenges will be critical to ensuring that AI enhances, rather than disrupts, patient care. This paper reviews the integration of AI into surgery, examining its current applications, challenges, and future directions.</div></div>\",\"PeriodicalId\":74889,\"journal\":{\"name\":\"Surgery (Oxford, Oxfordshire)\",\"volume\":\"43 3\",\"pages\":\"Pages 129-134\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2025-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Surgery (Oxford, Oxfordshire)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0263931924002242\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Surgery (Oxford, Oxfordshire)","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0263931924002242","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Artificial intelligence in surgery: what is needed for ongoing innovation
Artificial intelligence (AI) is rapidly transforming various fields, including surgery. AI's ability to process large datasets and deliver real-time insights has the potential to enhance diagnostic accuracy, risk prediction, and intraoperative decision-making. However, challenges such as algorithmic bias, data privacy, and the need for surgeon AI literacy hinder broader implementation. While AI holds significant potential to revolutionize surgical practice, its safe and effective integration requires improved AI literacy among surgeons and more effective regulatory frameworks. Addressing these challenges will be critical to ensuring that AI enhances, rather than disrupts, patient care. This paper reviews the integration of AI into surgery, examining its current applications, challenges, and future directions.