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Identification of patients with malignant biliary strictures using a cholangioscopy-based deep learning artificial intelligence (with video)
Institution:1. Division of Gastroenterology, UMass Chan Medical School, Worcester, Massachusetts, USA;2. Program in Digital Medicine, UMass Chan Medical School, Worcester, Massachusetts, USA;4. Department of Medicine, UMass Chan Medical School, Worcester, Massachusetts, USA;3. Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, Minnesota, USA;1. Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA;2. Division of Gastroenterology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA;1. Department of Gastroenterology and Hepatology, Digestive Disease and Surgery Institute, Cleveland Clinic Foundation, Cleveland, Ohio, USA;2. Interventional Oncology and Surgical Endoscopy, Parkview Cancer Institute, Parkview Health System, Fort Wayne, Indiana, USA;3. Vatche and Tamar Manoukian Division of Digestive Diseases, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California, USA;4. Department of Medicine, Division of Gastroenterology, University of Kansas Medical Center, Kansas University School of Medicine, Kansas City, Kansas, USA;5. Department of Medicine, Division of Gastroenterology, Washington University, Washington University School of Medicine in St Louis, St Louis, Missouri, USA;6. Department of Medicine, Division of Gastroenterology, Northwestern Medical Center, Feinberg School of Medicine, Chicago, Illinois, USA;7. Department of Medicine, Division of Gastroenterology, University of Colorado Anschutz Medical Campus, University of Colorado School of Medicine, Boulder, Colorado, USA;1. Department of Gastroenterology and Hepatology, Erasmus MC Cancer Institute, University Medical Center Rotterdam, Rotterdam, The Netherlands;2. Department of Gastroenterology, University College London Hospitals, London, UK;3. Department of Biostatistics, Erasmus MC Cancer Institute, University Medical Center Rotterdam, Rotterdam, The Netherlands;4. Digestive Endoscopy Unit, Humanitas Clinical and Research Center, Milan, Italy;5. Gastroenterology and Interventional Endoscopy Unit, Local Health Authority of Bologna, Bologna, Italy;6. Department of Gastroenterology and Hepatology, Lothian University Hospitals NHS Trust, Edinburgh, UK;7. Department of Gastroenterology and Hepatology, Complejo Hospitalario de Navarra, Pamplona, Spain;8. Department of Gastroenterology, St James’s University Hospital, Leeds, UK;9. Nottingham Digestive Disease Centre (NDDC) and NIHR Nottingham Biomedical Research Centre (BRC), Nottingham University and Nottingham University Hospitals NHS Trust, Queens Medical Centre, Nottingham, UK;10. Institute of Liver Studies, King’s College Hospital, London, UK;11. Department of Gastroenterological surgery, University of Helsinki and Helsinki University Hospital, Helsinki, Finland;12. Department of Gastroenterology and Hepatology, Section of Liver and Biliopancreatic disorders, University Hospitals Leuven, KU Leuven, Leuven, Belgium;13. HPB Unit Newcastle upon Tyne Hospitals, and Translational and Clinical Research Institute Newcastle University, Newcastle, UK;14. Sheila Sherlock Liver Centre, Royal Free Hospital, London, UK;15. Department of Biomedical Sciences, Humanitas University, Milan, Italy;16. Department of Gastroenterology and Hepatology, Guys and St Thomas’ Hospital, London, UK;1. Department of Internal Medicine, University of Utah, Salt Lake City, Utah, USA;2. Center for Advanced Therapeutic Endoscopy, Centura Health, Denver, Colorado, USA
Abstract:
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  • Keywords:AI"}  {"#name":"keyword"  "$":{"id":"kwrd0015"}  "$$":[{"#name":"text"  "_":"artificial intelligence  AUROC"}  {"#name":"keyword"  "$":{"id":"kwrd0025"}  "$$":[{"#name":"text"  "_":"area under the receiver-operating characteristic curve  CCA"}  {"#name":"keyword"  "$":{"id":"kwrd0035"}  "$$":[{"#name":"text"  "_":"cholangiocarcinoma  CI"}  {"#name":"keyword"  "$":{"id":"kwrd0045"}  "$$":[{"#name":"text"  "_":"confidence interval  CNN"}  {"#name":"keyword"  "$":{"id":"kwrd0055"}  "$$":[{"#name":"text"  "_":"convolutional neural network  HQB"}  {"#name":"keyword"  "$":{"id":"kwrd0065"}  "$$":[{"#name":"text"  "_":"high quality-benign  HQM"}  {"#name":"keyword"  "$":{"id":"kwrd0075"}  "$$":[{"#name":"text"  "_":"high quality-malignant  HQS"}  {"#name":"keyword"  "$":{"id":"kwrd0085"}  "$$":[{"#name":"text"  "_":"high quality-suspicious  LQ"}  {"#name":"keyword"  "$":{"id":"kwrd0095"}  "$$":[{"#name":"text"  "_":"Low quality  MBS"}  {"#name":"keyword"  "$":{"id":"kwrd0105"}  "$$":[{"#name":"text"  "_":"malignant biliary strictures  ROC"}  {"#name":"keyword"  "$":{"id":"kwrd0115"}  "$$":[{"#name":"text"  "_":"receiver-operating characteristic  UNI"}  {"#name":"keyword"  "$":{"id":"kwrd0125"}  "$$":[{"#name":"text"  "_":"uninformative
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