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The Reliability and Quality of Videos as Guidance for Gastrointestinal Endoscopy: Cross-Sectional Study

The Reliability and Quality of Videos as Guidance for Gastrointestinal Endoscopy: Cross-Sectional Study

Currently, a substantial number of gastrointestinal endoscopy-related videos have emerged on You Tube. However, there is a lack of research evaluating the quality of these videos. The aim of the present study was to examine the quality, reliability, and recommendability of videos related to gastroscopy, colonoscopy, and capsule endoscopy available on You Tube.

Jinpei Liu, Yifan Qiu, Yilong Liu, Wenping Xu, Weichen Ning, Peimei Shi, Zongli Yuan, Fang Wang, Yihai Shi

J Med Internet Res 2025;27:e58855

Large Language Models in Gastroenterology: Systematic Review

Large Language Models in Gastroenterology: Systematic Review

Gastrointestinal endoscopy, a critical field for diagnosing and treating digestive diseases, stands on the cusp of significant advancements with the integration of these technologies. This, pivotal in diagnosing and treating digestive tract diseases, faces challenges like diagnostic variability and labor-intensive documentation.

Eun Jeong Gong, Chang Seok Bang, Jae Jun Lee, Jonghyung Park, Eunsil Kim, Subeen Kim, Minjae Kimm, Seoung-Ho Choi

J Med Internet Res 2024;26:e66648

Effectiveness of Risk-Adapted Upper Gastrointestinal Cancer Screening in China: Prospective Cohort Study

Effectiveness of Risk-Adapted Upper Gastrointestinal Cancer Screening in China: Prospective Cohort Study

Considering China’s large population base and the significant burden on endoscopy resources, conducting large-scale 1-time endoscopic primary screening is not feasible. Guidelines recommend conducting high-risk assessments first to discern screeners with high risk for subsequent endoscopic screening in non–high-incidence areas. However, there exists an absence of long-term, high-quality evidence supporting this approach.

Youqing Wang, Juan Zhu, Huizhang Li, Le Wang, Chen Zhu, Xue Li, Shi Wang, Lingbin Du

JMIR Public Health Surveill 2024;10:e62864

Diagnostic Accuracy of Artificial Intelligence in Endoscopy: Umbrella Review

Diagnostic Accuracy of Artificial Intelligence in Endoscopy: Umbrella Review

Endoscopy, as an efficient and convenient method, can effectively diagnose various gastrointestinal diseases [2]. Endoscopic intervention can also effectively treat early gastrointestinal cancers [3]. In recent years, with the rise of artificial intelligence (AI), numerous studies have been conducted to explore its application in the field of endoscopy, aiming to assist medical professionals in lesion identification and endoscopy quality control [4,5].

Bowen Zha, Angshu Cai, Guiqi Wang

JMIR Med Inform 2024;12:e56361

Clinical Decision Support System for All Stages of Gastric Carcinogenesis in Real-Time Endoscopy: Model Establishment and Validation Study

Clinical Decision Support System for All Stages of Gastric Carcinogenesis in Real-Time Endoscopy: Model Establishment and Validation Study

The primary goal of screening endoscopy is to detect neoplastic lesions in the stomach. However, preneoplastic conditions, such as atrophy and IM, require regular monitoring to detect developing neoplastic lesions [5,6]. Evidence for the recommended screening endoscopy time interval is lacking; however, a shorter interval is generally recommended for patients with atrophy or IM compared to those without [5-7].

Eun Jeong Gong, Chang Seok Bang, Jae Jun Lee, Hae Min Jeong, Gwang Ho Baik, Jae Hoon Jeong, Sigmund Dick, Gi Hun Lee

J Med Internet Res 2023;25:e50448

The Impacts of Computer-Aided Detection of Colorectal Polyps on Subsequent Colonoscopy Surveillance Intervals: Simulation Study

The Impacts of Computer-Aided Detection of Colorectal Polyps on Subsequent Colonoscopy Surveillance Intervals: Simulation Study

Based on the baseline colorectal polyp and adenoma distribution of our patients, we simulated the projected increase in all colonic lesions detected with the application of CADe and the corresponding changes in surveillance intervals, according to the US Multi-Society Task Force on Colorectal Cancer (USMSTF) and the European Society of Gastrointestinal Endoscopy (ESGE) guidelines [52,53].

Ka Luen Thomas Lui, Sze Hang Kevin Liu, Kathy Leung, Joseph T Wu, Ann G Zauber, Wai Keung Leung

J Med Internet Res 2023;25:e42665

The Accuracy of Artificial Intelligence in the Endoscopic Diagnosis of Early Gastric Cancer: Pooled Analysis Study

The Accuracy of Artificial Intelligence in the Endoscopic Diagnosis of Early Gastric Cancer: Pooled Analysis Study

However, gastrointestinal endoscopy, the standard detection method for early gastric cancer, has an unsatisfactory sensitivity of 70% and is operator dependent [9]. Despite efforts to increase the detection rate, a valid screening method has yet to be developed [10,11]. The recent advancement in artificial intelligence (AI) systems, which provides highly accurate and efficient image recognition, may indicate a solution to this problem.

Pei-Chin Chen, Yun-Ru Lu, Yi-No Kang, Chun-Chao Chang

J Med Internet Res 2022;24(5):e27694

Natural Language Processing for Assessing Quality Indicators in Free-Text Colonoscopy and Pathology Reports: Development and Usability Study

Natural Language Processing for Assessing Quality Indicators in Free-Text Colonoscopy and Pathology Reports: Development and Usability Study

Therefore, quality assurance is an essential part of colonoscopy screening programs, and the American Society of Gastrointestinal Endoscopy/American College of Gastroenterology Task Force on Quality in Endoscopy has published indicators for colonoscopy to improve safety and quality [5].

Jung Ho Bae, Hyun Wook Han, Sun Young Yang, Gyuseon Song, Soonok Sa, Goh Eun Chung, Ji Yeon Seo, Eun Hyo Jin, Heecheon Kim, DongUk An

JMIR Med Inform 2022;10(4):e35257