Kader Rawen, Baggaley Rebecca F, Hussein Mohamed, Ahmad Omer F, Patel Nisha, Corbett Gareth, Dolwani Sunil, Stoyanov Danail, Lovat Laurence B
Division of Surgery and Interventional Sciences, University College London, London, UK.
Wellcome/EPSRC Centre for Interventional and Surgical Sciences (WEISS), University College London, London, UK.
Frontline Gastroenterol. 2022 Jan 17;13(5):423-429. doi: 10.1136/flgastro-2021-101994. eCollection 2022.
With the potential integration of artificial intelligence (AI) into clinical practice, it is essential to understand end users' perception of this novel technology. The aim of this study, which was endorsed by the British Society of Gastroenterology (BSG), was to evaluate the UK gastroenterology and endoscopy communities' views on AI.
An online survey was developed and disseminated to gastroenterologists and endoscopists across the UK.
One hundred four participants completed the survey. Quality improvement in endoscopy (97%) and better endoscopic diagnosis (92%) were perceived as the most beneficial applications of AI to clinical practice. The most significant challenges were accountability for incorrect diagnoses (85%) and potential bias of algorithms (82%). A lack of guidelines (92%) was identified as the greatest barrier to adopting AI in routine clinical practice. Participants identified real-time endoscopic image diagnosis (95%) as a research priority for AI, while the most perceived significant barriers to AI research were funding (82%) and the availability of annotated data (76%). Participants consider the priorities for the BSG AI Task Force to be identifying research priorities (96%), guidelines for adopting AI devices in clinical practice (93%) and supporting the delivery of multicentre clinical trials (91%).
This survey has identified views from the UK gastroenterology and endoscopy community regarding AI in clinical practice and research, and identified priorities for the newly formed BSG AI Task Force.
随着人工智能（AI）有可能融入临床实践，了解终端用户对这项新技术的看法至关重要。本研究得到了英国胃肠病学会（BSG）的认可，旨在评估英国胃肠病学和内镜检查领域对AI的看法。
开展了一项在线调查，并将其分发给英国各地的胃肠病学家和内镜医师。
104名参与者完成了调查。内镜检查质量的改善（97%）和更好的内镜诊断（92%）被认为是AI在临床实践中最有益的应用。最显著的挑战是对错误诊断负责（85%）和算法的潜在偏差（82%）。缺乏指南（92%）被确定为在常规临床实践中采用AI的最大障碍。参与者将实时内镜图像诊断（95%）确定为AI的研究重点，而AI研究最明显的障碍是资金（82%）和标注数据的可用性（76%）。参与者认为BSG AI特别工作组的优先事项是确定研究重点（96%）、临床实践中采用AI设备的指南（93%）以及支持多中心临床试验的开展（91%）。
本次调查确定了英国胃肠病学和内镜检查领域对临床实践和研究中AI的看法，并确定了新成立的BSG AI特别工作组的优先事项。
