-
- Yi Shan He
- Department of Gastroenterology Qilu Hospital of Shandong University Jinan Shandong Province China
-
- Jing Ran Su
- Department of Gastroenterology Qilu Hospital of Shandong University Jinan Shandong Province China
-
- Zhen Li
- Department of Gastroenterology Qilu Hospital of Shandong University Jinan Shandong Province China
-
- Xiu Li Zuo
- Department of Gastroenterology Qilu Hospital of Shandong University Jinan Shandong Province China
-
- Yan Qing Li
- Department of Gastroenterology Qilu Hospital of Shandong University Jinan Shandong Province China
抄録
<jats:p>With recent significant improvements in artificial intelligence (AI), especially in the field of deep learning, an increasing number of studies have evaluated the use of AI in endoscopy to detect and diagnose gastrointestinal (GI) lesions. The present review summarizes current publications on the use of AI in GI endoscopy and focuses on the challenges and future of AI‐aided systems. We expect AI to provide an effective and practical method for endoscopists in lesion detection and characterization as well as in quality control in endoscopy. However, so far, most studies have remained at the preclinical stage. More attention should be paid in the future to the use of AI in real‐life clinical applications.</jats:p>
収録刊行物
-
- Journal of Digestive Diseases
-
Journal of Digestive Diseases 20 (12), 623-630, 2019-11-20
Wiley