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Physician sentiment toward artificial intelligence (AI) in colonoscopic practice: a survey of US gastroenterologists

机译:在结肠透视实践中对人工智能(AI)的医生情绪:对美国胃肠科学家的调查

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Background and study aims?Early studies have shown that artificial intelligence (AI) has the potential to augment the performance of gastroenterologists during endoscopy. Our aim was to determine how gastroenterologists view the potential role of AI in gastrointestinal endoscopy. Methods?In this cross-sectional study, an online survey was sent to US gastroenterologists. The survey included questions about physician level of training, experience, and practice characteristics and physician perception of AI. Descriptive statistics were used to summarize sentiment about AI. Univariate and multivariate analyses were used to assess whether background information about physicians correlated to their sentiment. Results?Surveys were emailed to 330 gastroenterologists nationwide. Between December 2018 and January 2019, 124 physicians (38?%) completed the survey. Eighty-six percent of physicians reported interest in AI-assisted colonoscopy; 84.7?% agreed that computer-assisted polyp detection (CADe) would improve their endoscopic performance. Of the respondents, 57.2?% felt comfortable using computer-aided diagnosis (CADx) to support a “diagnose and leave” strategy for hyperplastic polyps. Multivariate analysis showed that post-fellowship experience of fewer than 15 years was the most important factor in determining whether physicians were likely to believe that CADe would lead to more removed polyps (odds ratio?=?5.09; P?=?.01). The most common concerns about implementation of AI were cost (75.2?%), operator dependence (62.8?%), and increased procedural time (60.3?%). Conclusions?Gastroenterologists have strong interest in the application of AI to colonoscopy, particularly with regard to CADe for polyp detection. The primary concerns were its cost, potential to increase procedural time, and potential to develop operator dependence. Future developments in AI should prioritize mitigation of these concerns.
机译:背景和研究目的?早期研究表明,人工智能(AI)有可能在内窥镜检查期间增加胃肠学主的性能。我们的目标是确定胃肠科学家如何看待AI在胃肠内镜内窥镜检查中的潜在作用。方法?在这个横断面研究中,在线调查被送到美国胃肠科医生。该调查包括关于医师培训,经验和实践特征和医生对AI的看法的问题。描述性统计数据用于总结AI的情绪。单变量和多变量分析用于评估医生与其情绪相关的背景信息。结果?调查通过全国电子邮件发送至330个胃肠科医生。 2018年12月至2019年1月间,124名医生(38?%)完成了调查。百分之八十六个医生涉及AI辅助结肠镜检查的兴趣; 84.7?%同意计算机辅助息肉检测(CADE)将改善其内窥镜表现。受访者,57.2?%使用计算机辅助诊断(CADX)感到舒适,以支持增生息肉的“诊断和留下”策略。多变量分析表明,奖学金经历少于15年的时间是确定医生是否可能相信CADE会导致更多删除息肉(差价率?=?5.09; P?=Δ.01)。关于AI实施的最常见问题是成本(75.2?%),操作员依赖(62.8?%),并增加程序时间(60.3?%)。结论?胃肠学家对AI对结肠镜检查的应用有很强的兴趣,特别是关于息肉检测的CADE。主要担忧是其成本,增加程序时间的潜力以及开发操作员依赖的潜力。 AI的未来发展应优先考虑这些问题的减轻。

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