{"title":"内窥镜检查中的人工智能:未来民意调查。","authors":"Omar Elshaarawy , Mohamed Alboraie , Mohamed El-Kassas","doi":"10.1016/j.ajg.2023.11.008","DOIUrl":null,"url":null,"abstract":"<div><p>Artificial Intelligence [AI] has been a trendy topic in recent years, with many developed medical applications. In gastrointestinal endoscopy, AI systems include computer-assisted detection [CADe] for lesion detection as bleedings and polyps and computer-assisted diagnosis [CADx] for optical biopsy and lesion characterization. The technology behind these systems is based on a computer algorithm that is trained for a specific function. This function could be to recognize or characterize target lesions such as colonic polyps. Moreover, AI systems can offer technical assistance to improve endoscopic performance as scope insertion guidance. Currently, we believe that such technologies still lack legal and regulatory validations as a large sector of doctors and patients have concerns. However, there is no doubt that these technologies will bring significant improvement in the endoscopic management of patients as well as save money and time.</p></div>","PeriodicalId":48674,"journal":{"name":"Arab Journal of Gastroenterology","volume":"25 1","pages":"Pages 13-17"},"PeriodicalIF":1.1000,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1687197923001077/pdfft?md5=a313d73f10eeb01d3c1d2ec6a66e7bb8&pid=1-s2.0-S1687197923001077-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Artificial Intelligence in endoscopy: A future poll\",\"authors\":\"Omar Elshaarawy , Mohamed Alboraie , Mohamed El-Kassas\",\"doi\":\"10.1016/j.ajg.2023.11.008\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Artificial Intelligence [AI] has been a trendy topic in recent years, with many developed medical applications. In gastrointestinal endoscopy, AI systems include computer-assisted detection [CADe] for lesion detection as bleedings and polyps and computer-assisted diagnosis [CADx] for optical biopsy and lesion characterization. The technology behind these systems is based on a computer algorithm that is trained for a specific function. This function could be to recognize or characterize target lesions such as colonic polyps. Moreover, AI systems can offer technical assistance to improve endoscopic performance as scope insertion guidance. Currently, we believe that such technologies still lack legal and regulatory validations as a large sector of doctors and patients have concerns. However, there is no doubt that these technologies will bring significant improvement in the endoscopic management of patients as well as save money and time.</p></div>\",\"PeriodicalId\":48674,\"journal\":{\"name\":\"Arab Journal of Gastroenterology\",\"volume\":\"25 1\",\"pages\":\"Pages 13-17\"},\"PeriodicalIF\":1.1000,\"publicationDate\":\"2024-02-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S1687197923001077/pdfft?md5=a313d73f10eeb01d3c1d2ec6a66e7bb8&pid=1-s2.0-S1687197923001077-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Arab Journal of Gastroenterology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1687197923001077\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"GASTROENTEROLOGY & HEPATOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Arab Journal of Gastroenterology","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1687197923001077","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"GASTROENTEROLOGY & HEPATOLOGY","Score":null,"Total":0}
Artificial Intelligence in endoscopy: A future poll
Artificial Intelligence [AI] has been a trendy topic in recent years, with many developed medical applications. In gastrointestinal endoscopy, AI systems include computer-assisted detection [CADe] for lesion detection as bleedings and polyps and computer-assisted diagnosis [CADx] for optical biopsy and lesion characterization. The technology behind these systems is based on a computer algorithm that is trained for a specific function. This function could be to recognize or characterize target lesions such as colonic polyps. Moreover, AI systems can offer technical assistance to improve endoscopic performance as scope insertion guidance. Currently, we believe that such technologies still lack legal and regulatory validations as a large sector of doctors and patients have concerns. However, there is no doubt that these technologies will bring significant improvement in the endoscopic management of patients as well as save money and time.
期刊介绍:
Arab Journal of Gastroenterology (AJG) publishes different studies related to the digestive system. It aims to be the foremost scientific peer reviewed journal encompassing diverse studies related to the digestive system and its disorders, and serving the Pan-Arab and wider community working on gastrointestinal disorders.