Artificial intelligence in detection of small bowel lesions and their bleeding risk:A new step forward  

作　　者：Silvia Cocca Giuseppina Pontillo Giuseppe Grande Rita Conigliaro 

机构地区：[1]Gastroenterology and Endoscopy Unit,Azienda Ospedaliero Universitaria Policlinico di Modena,Modena 41121,Italy [2]Gastroenterology and Endoscopy Unit,Presidio Ospedaliero San Giuseppe Moscati(Aversa,CE)-ASL Caserta,Caserta 81100,Italy [3]Department of Gastroenterology and Digestive Endoscopy,Azienda Ospedaliero Universitaria di Modena,Modena 41121,Italy

出　　处：《World Journal of Gastroenterology》2024年第18期2482-2484,共3页世界胃肠病学杂志（英文版）

摘　　要：The present letter to the editor is related to the study with the title“Automatic detection of small bowel(SB)lesions with different bleeding risk based on deep learning models”.Capsule endoscopy(CE)is the main tool to assess SB diseases but it is a time-consuming procedure with a significant error rate.The development of artificial intelligence(AI)in CE could simplify physicians’tasks.The novel deep learning model by Zhang et al seems to be able to identify various SB lesions and their bleeding risk,and it could pave the way to next perspective studies to better enhance the diagnostic support of AI in the detection of different types of SB lesions in clinical practice.

关 键 词：Capsule endoscopy Small bowel Artificial intelligence Bleeding risk Vascular lesions 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程] R574.6[自动化与计算机技术—控制科学与工程]