Creating a Standardized Tool for the Evaluation and Comparison of Artificial Intelligence-Based Computer-Aided Detection Programs in Colonoscopy: a Modified Delphi Approach
机构：[1]Department of Medicine, Duke University School of Medicine, Durham, North Carolina, USA[2]Digestive Disease Center, Showa University Northern Yokohama Hospital, Yokohama, Japan[3]Clinical Effectiveness Research Group, Institute of Health and Society, University of Oslo, Oslo, Norway[4]Department of Transplantation Medicine, Oslo University Hospital, Oslo, Norway[5]Translational Gastroenterology Unit, John Radcliffe Hospital, Oxford, UK[6]Oxford NIHR Biomedical Research Centre, University of Oxford, Oxford, UK[7]Department of Gastroenterology, Humanitas Clinical and Research Center, IRCCS, Milan, Italy[8]Humanitas University, Department of Biomedical Sciences, Pieve Emanuele, Milan, Italy[9]Division of Gastroenterology, Vancouver General Hospital, University of British Columbia, Vancouver, British Columbia, Canada[10]Satisfai Health, Vancouver, British Columbia, Canada[11]Division of Gastroenterology, Montréal University Hospital and Research Center, Montreal, Canada[12]School of Medicine, The University of Queensland, Brisbane, Australia[13]Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, Chengdu, China四川省人民医院[14]Endoscopy Division, National Cancer Center Hospital, Tokyo, Japan[15]Gastrointestinal Endoscopy Unit, Gastroenterology Department, University of São Paulo Medical School, São Paulo, Brazil[16]Wellcome/EPSRC Centre for Interventional & Surgical Sciences, University College London, London, UK[17]Division of Gastroenterology and Hepatology, University of Kansas School of Medicine and VA Medical Center, Kansas City, USA[18]Division of Gastroenterology and Hepatology, New York University Langone Health System, New York, New York, USA[19]Section of Gastroenterology, University of Chicago Medicine, Chicago, Illinois, USA[20]Section of Gastroenterology and Hepatology, Baylor College of Medicine, Houston, Texas, USA[21]Cosmo Intelligent Medical Devices, Dublin, Ireland[22]Wision AI, Palo Alto, California, USA[23]Odin Vision, London, UK[24]Olympus Corporation, Tokyo, Japan[25]Pentax Medical Europe, Hamburg, Germany[26]Magentiq Eye, Haifa, Israel[27]FUJIFILM Healthcare Americas Corporation, Lexington, Massachusetts, USA[28]Center for Advanced Endoscopy, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts, USA[29]Division of Gastroenterology, Duke University Medical Center, Durham, North Carolina, USA
第一作者机构：[1]Department of Medicine, Duke University School of Medicine, Durham, North Carolina, USA
通讯作者：
推荐引用方式(GB/T 7714)：
Gadi Sanjay R V,Mori Yuichi,Misawa Masashi,et al.Creating a Standardized Tool for the Evaluation and Comparison of Artificial Intelligence-Based Computer-Aided Detection Programs in Colonoscopy: a Modified Delphi Approach[J].Gastrointestinal Endoscopy.2025,102(1):doi:10.1016/j.gie.2024.11.042.
APA：
Gadi Sanjay R V,Mori Yuichi,Misawa Masashi,East James E,Hassan Cesare...&Glissen Brown Jeremy R.(2025).Creating a Standardized Tool for the Evaluation and Comparison of Artificial Intelligence-Based Computer-Aided Detection Programs in Colonoscopy: a Modified Delphi Approach.Gastrointestinal Endoscopy,102,(1)
MLA：
Gadi Sanjay R V,et al."Creating a Standardized Tool for the Evaluation and Comparison of Artificial Intelligence-Based Computer-Aided Detection Programs in Colonoscopy: a Modified Delphi Approach".Gastrointestinal Endoscopy 102..1(2025)
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