机构：[1]Wellcome/EPSRC Centre for Interventional & Surgical Sciences, University College London, London, United Kingdom[2]Gastrointestinal Services, University College London Hospital, London, United Kingdom[3]Digestive Disease Center, Showa University Northern Yokohama Hospital, Yokohama, Japan[4]Clinical Effectiveness Research Group, Institute of Health and Society, University of Oslo, Oslo, Norway[5]Department of Gastroenterology, Gloucestershire Hospitals NHSFT, Gloucester, United Kingdom.[6]Computer Science Department, Universitat Autonoma de Barcelona and Computer Vision Center, Barcelona, Spain.[7]Center for Advanced Endoscopy, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA.[8]Department of Gastroenterology and Hepatology, University Hospitals Leuven, TARGID KU Leuven, Leuven, Belgium[9]Division of Gastroenterology, Vancouver General Hospital, University of British Columbia, Vancouver, British Columbia, Canada.[10]Division of Gastroenterology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan.[11]Translational Gastroenterology Unit, John Radcliffe Hospital, Oxford, United Kingdom[12]Oxford NIHR Biomedical Research Centre, University of Oxford, Oxford, United Kingdom[13]Medical Imaging Research Center, ESAT/PSI, KU Leuven, Leuven, Belgium[14]Hamlyn Centre for Robotic Surgery, Institute of Global Health Innovation, Imperial College London, United Kingdom.[15]Department of Surgery and Cancer, Imperial College London, United Kingdom.[16]Division of Gastroenterology and Hepatology, Mayo Clinic, Scottsdale, Arizona, USA.[17]ETIS, Universite de Cergy-Pointoise, ENSEA, CNRS, Cergy-Pointoise Cedex, France[18]H. H. Chao Comprehensive Digestive Disease Center, Division of Gastroenterology & Hepatology, Department of Medicine, University of California, Irvine, Orange, California, USA.[19]Department of Gastroenterology, Humanitas Clinical and Research Center, IRCCS, Rozzano, Milano, Italy.[20]Humanitas University, Department of Biomedical Sciences, Pieve Emanuele, Milan, Italy.[21]Department of Gastroenterology and Hepatology, Lyell McEwan Hospital, Adelaide, South Australia, Australia.[22]School of Electronics and Electrical Engineering, University of Leeds, Leeds, United Kingdom.[23]Division of Gastroenterology & Hepatology, Mayo Clinic, Jacksonville, Florida, USA.[24]Department of Gastroenterology, Sichuan Academy of Medical Sciences and Sichuan Provincial People’s Hospital, Chengdu, China.四川省人民医院
Background and Aims Artificial intelligence (AI) research in colonoscopy is progressing rapidly but widespread clinical implementation is not yet a reality. We aimed to identify the top implementation research priorities. Methods An established modified Delphi approach for research priority setting was used. Fifteen international experts, including endoscopists and translational computer scientists/engineers from 9 countries participated in an online survey over 9 months. Questions related to AI implementation in colonoscopy were generated as a long-list in the first round, and then scored in two subsequent rounds to identify the top 10 research questions. Results The top 10 ranked questions were categorised into 5 themes. Theme 1: Clinical trial design/end points (4 questions), related to optimum trial designs for polyp detection and characterisation, determining the optimal end-points for evaluation of AI and demonstrating impact on interval cancer rates. Theme 2: Technological Developments (3 questions), including improving detection of more challenging and advanced lesions, reduction of false positive rates and minimising latency. Theme 3: Clinical adoption/Integration (1 question) concerning effective combination of detection and characterisation into one workflow. Theme 4: Data access/annotation (1 question) concerning more efficient or automated data annotation methods to reduce the burden on human experts. Theme 5: Regulatory Approval (1 question) related to making regulatory approval processes more efficient. Conclusions This is the first reported international research priority setting exercise for AI in colonoscopy. The study findings should be used as a framework to guide future research with key stakeholders to accelerate the clinical implementation of AI in endoscopy.
The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution License, permitting unrestricted use, distribution, and reproduction so long as the original work is properly cited. (https://creativecommons.org/licenses/by/4.0/).
基金：
This work was supported by the Wellcome/EPSRC Centre for Interventional and Surgical
Sciences (WEISS) at University College London (203145Z/16/Z). James E. East was funded by
the National Institute for Health Research (NIHR) Oxford Biomedical Research Centre. The
views expressed are those of the author(s) and not necessarily those of the National Health
Service, the NIHR or the Department of Health. Raf Bisschops and Tom Eeldbode are
supported by a grant from Research Foundation Flanders (FWO). Pietro Valdastri was
supported in part by the Royal Society, by the Engineering and Physical Sciences Research
Council under Grant EP/P027938/1.
第一作者机构：[1]Wellcome/EPSRC Centre for Interventional & Surgical Sciences, University College London, London, United Kingdom[*1]Wellcome/EPSRC Centre for Interventional & Surgical Sciences, Charles Bell House, 43-45 Foley Street, London, United Kingdom, W1W 7TS
通讯作者：
通讯机构：[1]Wellcome/EPSRC Centre for Interventional & Surgical Sciences, University College London, London, United Kingdom[*1]Wellcome/EPSRC Centre for Interventional & Surgical Sciences, Charles Bell House, 43-45 Foley Street, London, United Kingdom, W1W 7TS
推荐引用方式(GB/T 7714)：
Omer F. Ahmad,Yuichi Mori,Masashi Misawa,et al.Establishing key research questions for the implementation of artificial intelligence in colonoscopy - a modified Delphi method.[J].ENDOSCOPY.2021,53(9):893-901.doi:10.1055/a-1306-7590.
APA：
Omer F. Ahmad,Yuichi Mori,Masashi Misawa,Shin-ei Kudo,John T. Anderson...&Laurence B. Lovat.(2021).Establishing key research questions for the implementation of artificial intelligence in colonoscopy - a modified Delphi method..ENDOSCOPY,53,(9)
MLA：
Omer F. Ahmad,et al."Establishing key research questions for the implementation of artificial intelligence in colonoscopy - a modified Delphi method.".ENDOSCOPY 53..9(2021):893-901
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