Artificial intelligence in endoscopic diagnosis of esophageal squamous cell carcinoma and precancerous lesions.
10.1097/CM9.0000000000003490
- Author:
Nuoya ZHOU
1
;
Xianglei YUAN
2
;
Wei LIU
1
;
Qi LUO
1
;
Ruide LIU
1
;
Bing HU
1
Author Information
1. Department of Gastroenterology and Hepatology, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China.
2. Digestive Endoscopy Medical Engineering Research Laboratory, West China Hospital, Med-X Center for Materials, Sichuan University, Chengdu, Sichuan 610041, China.
- Publication Type:Review
- Keywords:
Artificial intelligence;
Endoscopy;
Esophageal squamous cell carcinoma;
Precancerous lesions
- MeSH:
Humans;
Artificial Intelligence;
Esophageal Squamous Cell Carcinoma/diagnosis*;
Esophageal Neoplasms/diagnosis*;
Precancerous Conditions/diagnosis*
- From:
Chinese Medical Journal
2025;138(12):1387-1398
- CountryChina
- Language:English
-
Abstract:
Esophageal squamous cell carcinoma (ESCC) poses a significant global health challenge, necessitating early detection, timely diagnosis, and prompt treatment to improve patient outcomes. Endoscopic examination plays a pivotal role in this regard. However, despite the availability of various endoscopic techniques, certain limitations can result in missed or misdiagnosed ESCCs. Currently, artificial intelligence (AI)-assisted endoscopic diagnosis has made significant strides in addressing these limitations and improving the diagnosis of ESCC and precancerous lesions. In this review, we provide an overview of the current state of AI applications for endoscopic diagnosis of ESCC and precancerous lesions in aspects including lesion characterization, margin delineation, invasion depth estimation, and microvascular subtype classification. Furthermore, we offer insights into the future direction of this field, highlighting potential advancements that can lead to more accurate diagnoses and ultimately better prognoses for patients.
