{"title":"人工智能在胃肠病学中的临床应用:现状、监管挑战和伦理问题","authors":"Ahmed El-Sayed, Laurence B. Lovat, Omer F. Ahmad","doi":"10.1053/j.gastro.2025.01.254","DOIUrl":null,"url":null,"abstract":"Artificial intelligence (AI) is set to rapidly transform gastroenterology, particularly in the field of endoscopy, where algorithms have demonstrated efficacy in addressing human operator variability. However, implementing AI in clinical practice presents significant challenges. The regulatory landscape for AI as a medical device (AIaMD) continues to evolve with areas of uncertainty. More robust studies generating real-world evidence are required to ultimately demonstrate impact on patient outcomes. Cost-effectiveness data and reimbursement models will be pivotal for widespread adoption. Novel challenges are posed by emerging technologies such as generative AI. Ethical and medicolegal concerns exist relating to data governance, patient harm, liability and bias. This review provides an overview for AI clinical implementation in gastroenterology and offers potential solutions to current barriers.","PeriodicalId":12590,"journal":{"name":"Gastroenterology","volume":"220 1","pages":""},"PeriodicalIF":25.7000,"publicationDate":"2025-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Clinical Implementation of Artificial Intelligence in Gastroenterology: Current Landscape, Regulatory Challenges, and Ethical Issues\",\"authors\":\"Ahmed El-Sayed, Laurence B. Lovat, Omer F. Ahmad\",\"doi\":\"10.1053/j.gastro.2025.01.254\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Artificial intelligence (AI) is set to rapidly transform gastroenterology, particularly in the field of endoscopy, where algorithms have demonstrated efficacy in addressing human operator variability. However, implementing AI in clinical practice presents significant challenges. The regulatory landscape for AI as a medical device (AIaMD) continues to evolve with areas of uncertainty. More robust studies generating real-world evidence are required to ultimately demonstrate impact on patient outcomes. Cost-effectiveness data and reimbursement models will be pivotal for widespread adoption. Novel challenges are posed by emerging technologies such as generative AI. Ethical and medicolegal concerns exist relating to data governance, patient harm, liability and bias. This review provides an overview for AI clinical implementation in gastroenterology and offers potential solutions to current barriers.\",\"PeriodicalId\":12590,\"journal\":{\"name\":\"Gastroenterology\",\"volume\":\"220 1\",\"pages\":\"\"},\"PeriodicalIF\":25.7000,\"publicationDate\":\"2025-03-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Gastroenterology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1053/j.gastro.2025.01.254\",\"RegionNum\":1,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"GASTROENTEROLOGY & HEPATOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Gastroenterology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1053/j.gastro.2025.01.254","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"GASTROENTEROLOGY & HEPATOLOGY","Score":null,"Total":0}
Clinical Implementation of Artificial Intelligence in Gastroenterology: Current Landscape, Regulatory Challenges, and Ethical Issues
Artificial intelligence (AI) is set to rapidly transform gastroenterology, particularly in the field of endoscopy, where algorithms have demonstrated efficacy in addressing human operator variability. However, implementing AI in clinical practice presents significant challenges. The regulatory landscape for AI as a medical device (AIaMD) continues to evolve with areas of uncertainty. More robust studies generating real-world evidence are required to ultimately demonstrate impact on patient outcomes. Cost-effectiveness data and reimbursement models will be pivotal for widespread adoption. Novel challenges are posed by emerging technologies such as generative AI. Ethical and medicolegal concerns exist relating to data governance, patient harm, liability and bias. This review provides an overview for AI clinical implementation in gastroenterology and offers potential solutions to current barriers.
期刊介绍:
Gastroenterology is the most prominent journal in the field of gastrointestinal disease. It is the flagship journal of the American Gastroenterological Association and delivers authoritative coverage of clinical, translational, and basic studies of all aspects of the digestive system, including the liver and pancreas, as well as nutrition.
Some regular features of Gastroenterology include original research studies by leading authorities, comprehensive reviews and perspectives on important topics in adult and pediatric gastroenterology and hepatology. The journal also includes features such as editorials, correspondence, and commentaries, as well as special sections like "Mentoring, Education and Training Corner," "Diversity, Equity and Inclusion in GI," "Gastro Digest," "Gastro Curbside Consult," and "Gastro Grand Rounds."
Gastroenterology also provides digital media materials such as videos and "GI Rapid Reel" animations. It is abstracted and indexed in various databases including Scopus, Biological Abstracts, Current Contents, Embase, Nutrition Abstracts, Chemical Abstracts, Current Awareness in Biological Sciences, PubMed/Medline, and the Science Citation Index.