Perception and Understanding of Artificial Intelligence Among Gastroenterology Fellows and Early Career Gastroenterologists: A Nationwide Cross-Sectional Survey Study.

IF 2.5 4区 医学 Q2 GASTROENTEROLOGY & HEPATOLOGY
Raseen Tariq, Saam Dilmaghani, Rashmi Advani, Ali Soroush, Tyler Berzin, Sahil Khanna
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Abstract

Introduction: Artificial intelligence (AI) is expanding rapidly in healthcare, particularly in gastroenterology (GI). Applications include enhancing colonoscopy accuracy, identifying dysplasia, and predicting clinical outcomes in inflammatory bowel disease. Despite AI's potential, concerns about ethical use and inadequate training persist.

Aims: This study aimed to evaluate the perceptions and understanding of AI among U.S. GI trainees and early career professionals.

Methods: A cross-sectional survey was conducted among members of the American College of Gastroenterology. The survey assessed AI experience, confidence, and educational needs, with comparisons between fellows and early career. Fisher's exact test and multivariate regressions were applied to assess differences in responses.

Results: A total of 193 respondents completed the survey (54.1% fellows, 45.9% early career). Most respondents (73%) were aged 25-35, and 91.6% believed AI would significantly impact healthcare. Only 6.7% currently use AI in practice, with fellows less likely to use AI compared to early career gastroenterologists (65.4 vs. 82.0%, P = 0.031). Confidence was low overall, with fellows reporting significantly less confidence in interpreting AI findings (P = 0.025) and understanding AI limitations (P = 0.050). A notable gap in the basic understanding of AI concepts, such as machine learning and neural networks, was evident among both groups, particularly fellows. Common concerns included misuse (64.2%), data privacy (40.2%), and financial costs (32.7%).

Conclusions: Interest in AI is high, but confidence and experience are limited. Ethical concerns and knowledge gaps highlight the urgent need for structured AI education in GI training. Comprehensive AI curricula focusing on practical use, critical interpretation, and ethics are strongly needed to equip gastroenterologists with the skills for responsible and effective clinical integration.

胃肠病学研究员和早期职业胃肠病学家对人工智能的感知和理解:一项全国性的横断面调查研究。
导读:人工智能(AI)正在医疗保健领域迅速扩张,特别是在胃肠病学(GI)领域。应用包括提高结肠镜检查的准确性,识别不典型增生,预测炎症性肠病的临床结果。尽管人工智能具有潜力,但对道德使用和培训不足的担忧仍然存在。目的:本研究旨在评估美国GI学员和早期职业专业人员对人工智能的看法和理解。方法:对美国胃肠病学学会会员进行横断面调查。该调查评估了人工智能的经验、信心和教育需求,并对研究员和早期职业进行了比较。采用Fisher精确检验和多变量回归来评估反应差异。结果:共有193名受访者完成了调查,其中研究员占54.1%,早期职业人员占45.9%。大多数受访者(73%)年龄在25-35岁之间,91.6%的受访者认为人工智能将对医疗保健产生重大影响。目前只有6.7%的人在实践中使用人工智能,与早期职业胃肠病学家相比,研究员使用人工智能的可能性更低(65.4比82.0%,P = 0.031)。总体而言,信心较低,研究人员报告在解释人工智能发现(P = 0.025)和理解人工智能局限性(P = 0.050)方面的信心明显较低。在机器学习和神经网络等人工智能概念的基本理解上,两组之间存在明显的差距,尤其是研究员。常见的担忧包括滥用(64.2%)、数据隐私(40.2%)和财务成本(32.7%)。结论:人们对人工智能的兴趣很高,但信心和经验有限。伦理问题和知识缺口凸显了在地理信息系统培训中进行结构化人工智能教育的迫切需要。迫切需要全面的人工智能课程,重点是实际应用、批判性解释和伦理,以使胃肠病学家具备负责任和有效的临床整合技能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Digestive Diseases and Sciences
Digestive Diseases and Sciences 医学-胃肠肝病学
CiteScore
6.40
自引率
3.20%
发文量
420
审稿时长
1 months
期刊介绍: Digestive Diseases and Sciences publishes high-quality, peer-reviewed, original papers addressing aspects of basic/translational and clinical research in gastroenterology, hepatology, and related fields. This well-illustrated journal features comprehensive coverage of basic pathophysiology, new technological advances, and clinical breakthroughs; insights from prominent academicians and practitioners concerning new scientific developments and practical medical issues; and discussions focusing on the latest changes in local and worldwide social, economic, and governmental policies that affect the delivery of care within the disciplines of gastroenterology and hepatology.
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