Bhat, Purnima

ABSTRACT Telemedicine is a broad term that encompasses all aspects of utilizing information and communication technologies to provide health services at distant sites. The primary goal of telementoring is the education and training of gastrointestinal (GI) endoscopists particularly in areas where there is a shortage of endoscopy trainers. Telementoring in GI endoscopy can help to provide teaching and skills training both in simulator‐based learning, and endoscopic skills training in the context of patient care. This position statement aims to outline the role of telementoring within GI endoscopy, offering a general model for the introduction and evaluation of a telementoring program that incorporates both simulators for junior trainees and skills training for practicing endoscopists. We hope to highlight its utility and implementation in remote locations. WEO recognizes that telementoring is valuable to expand access to high‐quality endoscopy training especially in parts of the world where there is a shortage of endoscopy trainers and this document can serve as a guide in the planning and implementation of telementoring programs.

ABSTRACT In response to the World Health Organization's (WHO) Global Initiative on Artificial Intelligence (AI) for Health, the World Endoscopy Organization (WEO) highlights the unique challenges and opportunities AI presents for gastrointestinal endoscopy, particularly in resource‐limited settings. While AI technologies have shown promise in improving diagnostic accuracy and efficiency in high‐resource environments, their implementation in low‐ and middle‐income countries is hindered by infrastructural, economic, regulatory, and training barriers. This commentary explores how these challenges may exacerbate existing healthcare disparities, emphasizing the need for localized datasets, affordable AI models, simplified regulatory frameworks, and workforce capacity building. The WEO supports WHO's call for equitable AI deployment and advocates for region‐specific solutions, including mobile and offline AI tools, public‐private partnerships, locally developed algorithms aligned with prevalent disease patterns, and a flexibly adapted regulatory framework. By leveraging WEO's training networks and fostering collaboration among governments, clinicians, and industry, the integration of AI into endoscopy can become more accessible and relevant to underserved populations. The commentary underscores that AI should not be seen as a luxury but as a tool to bridge global disparities in care quality. Ensuring responsible and inclusive AI integration requires both global coordination and context‐specific adaptations to truly benefit all healthcare systems.