Establishing key research questions for the implementation of artificial intelligence in colonoscopy : a modified Delphi method
Ahmad, Omer (University College London. Wellcome/EPSRC Centre for Interventional & Surgical Sciences)
Mori, Yuichi (University of Oslo. Institute of Health and Society)
Misawa, Masashi (Showa University Northern Yokohama Hospital. Digestive Disease Center)
Kudo, Toyoki (Showa University Northern Yokohama Hospital. Digestive Disease Center)
Anderson, John (Gloucestershire Hospitals NHS Foundation Trust. Department of Gastroenterology)
Bernal del Nozal, Jorge (Universitat Autònoma de Barcelona. Departament de Ciències de la Computació)
Berzin, Tyler M. (Harvard Medical School. Beth Israel Deaconess Medical Center)
Bisschops, Raf (University Hospitals Leuven (Bèlgica))
Byrne, Michael F. (University of British Columbia. Vancouver General Hospital)
Chen, Peng Jen (National Defense Medical Center. Tri-Service General Hospital (Taiwan))
East, James (University of Oxford. Oxford NIHR Biomedical Research Centre)
Eelbode, Tom (Medical Imaging Research Center, ESAT/PSI, KU Leuven)
Elson, Daniel (Imperial College London. Department of Surgery and Cancer)
Gurudu, Suryakanth R. (Mayo Clinic. Division of Gastroenterology and Hepatology, (Arizona, USA))
Histace, Aymeric (ETIS, Universite de Cergy-Pointoise, ENSEA, CNRS)
Karnes, William E. (University of California. Department of Medicine)
Repici, Alessandro (Humanitas University, Department of Biomedical Sciences (Italy))
Singh, Rajvinder (Lyell McEwan Hospital. Department of Gastroenterology and Hepatology)
Valdastri, Pietro (University of Leeds. School of Electronics and Electrical Engineering)
Wallace, Michael (Mayo Clinic. Division of Gastroenterology & Hepatology (Florida, USA))
Wang, Pu (Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital. Department of Gastroenterology)
Stoyanov, Danail (University College London. Wellcome/EPSRC Centre for Interventional & Surgical Sciences)
Lovat, Laurence B. (University College London Hospital. Gastrointestinal Services)

Data:	2020
Resum:	Background 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 nine 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 categorized into five themes. Theme 1: clinical trial design/end points (4 questions), related to optimum trial designs for polyp detection and characterization, 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 minimizing latency. Theme 3: clinical adoption/integration (1 question), concerning the effective combination of detection and characterization 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.
Drets:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original.
Llengua:	Anglès
Document:	Article ; recerca ; Versió publicada
Publicat a:	Endoscopy, Vol. 53, Num. 9 (November 2020) , p. 893-901, ISSN 1438-8812

DOI: 10.1055/a-1306-7590
PMID: 33167043

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