Quek Sabrina Xin Zi, Koo Chieh Sian, Liu Lin, Leung Wai Keung, Tang Raymond Shing Yan, Chung Hyunsoo, Zhang Xuesong, Ichimasa Katsuro, Ngo Denis, Maralit Ruter, Dao Viet Hang, Khien Vu Van, Duseja Ajay, Pratap Nitesh, Lee Yeong Yeh, Renaldi Kaka, Sim Shi Min, Wu Clement Chun Ho, Li James Weiquan, Tan Jarrod Kah Hwee, Koh Calvin Jianyi, So Jimmy Bok Yan, Lee Jonathan Wei Jie
Division of Gastroenterology and Hepatology, National University Hospital, Singapore, Singapore.
Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Commun Med (Lond). 2025 Jul 29;5(1):313. doi: 10.1038/s43856-025-01030-2.
Recent studies have demonstrated the potential of artificial intelligence (AI) in diagnostic and therapeutic endoscopy for managing gastrointestinal diseases. However, there is limited knowledge of the perspective of endoscopists towards AI technology, particularly in the Asian community. This study aims to bridge this knowledge gap to guide policymakers, healthcare providers, and technology developers through an Asia AI Task Force.
An online survey of 45 questions exploring (a) the perceived benefits of AI in endoscopy, (b) the barriers to adopting AI in endoscopy, (c) the priority areas and barriers to research in AI endoscopy, as well as (d) priorities for an Asia AI Task Force were distributed between November 2022 and May 2023 to endoscopists from sixteen medical institutes across ten Asian regions.
A total of 293 participants completed the survey. Two-fifths (41.98%, n = 123) report no prior exposure to AI endoscopy. The majority (73.2%, n = 90/123) of those without prior AI exposure express concerns about the accountability of AI and its impact on working practices. Almost all participants agree that AI enhances quality improvement (90.8%, n = 266) and leads to better diagnosis (90.4%, n = 265). 69% (n = 202) identify "staying up to date with AI advances" as the top challenge towards clinical adoption of AI. Notably, those without prior AI exposure express high concern regarding accountability for the wrong diagnoses (73.2% vs. 60.6%, p = 0.03) and lack of clinical trials (76.4% vs. 57.1%, p = 0.001). Most respondents prioritise developing a reference paper guide for clinicians interested in AI (81.2%) and supporting funding applications for AI research (81.5%) as key areas that an Asia AI Endoscopy task force should address.
The survey results from Asian endoscopists emphasise the pressing need for collaborative frameworks and educational initiatives, including establishing an Asia AI Task Force, to facilitate the successful integration of AI in endoscopy practice and research across the region.
最近的研究表明，人工智能（AI）在胃肠道疾病的诊断和治疗性内镜检查中具有潜力。然而，内镜医师对AI技术的看法，尤其是在亚洲人群中，了解有限。本研究旨在通过亚洲人工智能特别工作组填补这一知识空白，以指导政策制定者、医疗服务提供者和技术开发者。
在2022年11月至2023年5月期间，向来自亚洲十个地区十六家医疗机构的内镜医师发放了一份包含45个问题的在线调查问卷，内容涉及（a）AI在内镜检查中的预期益处，（b）在内镜检查中采用AI的障碍，（c）AI内镜检查研究的优先领域和障碍，以及（d）亚洲人工智能特别工作组的优先事项。
共有293名参与者完成了调查。五分之二（41.98%， n = 123）的参与者表示之前没有接触过AI内镜检查。在那些之前没有接触过AI的参与者中，大多数（73.2%， n = 90/123）对AI的问责制及其对工作实践的影响表示担忧。几乎所有参与者都认为AI能提高质量（90.8%， n = 266）并带来更好的诊断（90.4%， n = 265）。69%（n = 202）的参与者认为“跟上AI的发展”是临床应用AI的最大挑战。值得注意的是，那些之前没有接触过AI的参与者对错误诊断的问责制（73.2%对60.6%，p = 0.03）和缺乏临床试验（76.4%对57.1%，p = 0.001）表示高度关注。大多数受访者将为对AI感兴趣的临床医生制定参考文件指南（81.2%）和支持AI研究的资金申请（81.5%）列为亚洲AI内镜检查特别工作组应关注的关键领域。
亚洲内镜医师的调查结果强调迫切需要建立协作框架和教育举措，包括成立亚洲人工智能特别工作组，以促进AI在该地区内镜检查实践和研究中的成功整合。
