Surgical data science - from concepts toward clinical translation.

Autor: Maier-Hein L; Division of Computer Assisted Medical Interventions (CAMI), German Cancer Research Center (DKFZ), Heidelberg, Germany; Faculty of Mathematics and Computer Science, Heidelberg University, Heidelberg, Germany; Medical Faculty, Heidelberg University, Heidelberg, Germany. Electronic address: l.maier-hein@dkfz-heidelberg.de., Eisenmann M; Division of Computer Assisted Medical Interventions (CAMI), German Cancer Research Center (DKFZ), Heidelberg, Germany., Sarikaya D; Department of Computer Engineering, Faculty of Engineering, Gazi University, Ankara, Turkey; LTSI, Inserm UMR 1099, University of Rennes 1, Rennes, France., März K; Division of Computer Assisted Medical Interventions (CAMI), German Cancer Research Center (DKFZ), Heidelberg, Germany., Collins T; IRCAD, Strasbourg, France., Malpani A; The Malone Center for Engineering in Healthcare, The Johns Hopkins University, Baltimore, Maryland, USA., Fallert J; KARL STORZ SE & Co. KG, Tuttlingen, Germany., Feussner H; Department of Surgery, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany., Giannarou S; The Hamlyn Centre for Robotic Surgery, Imperial College London, London, United Kingdom., Mascagni P; ICube, University of Strasbourg, CNRS, France; IHU Strasbourg, Strasbourg, France., Nakawala H; Altair Robotics Lab, University of Verona, Verona, Italy., Park A; Department of Surgery, Anne Arundel Health System, Annapolis, Maryland, USA; Johns Hopkins University School of Medicine, Baltimore, Maryland, USA., Pugh C; Department of Surgery, Stanford University School of Medicine, Stanford, California, USA., Stoyanov D; Wellcome/EPSRC Centre for Interventional and Surgical Sciences, University College London, London, United Kingdom., Vedula SS; The Malone Center for Engineering in Healthcare, The Johns Hopkins University, Baltimore, Maryland, USA., Cleary K; The Sheikh Zayed Institute for Pediatric Surgical Innovation, Children's National Hospital, Washington, D.C., USA., Fichtinger G; The Perk Lab, Queen's University, Kingston, Ontario, Canada., Forestier G; L'Institut de Recherche en Informatique, Mathématiques, Automatique et Signal (IRIMAS), University of Haute-Alsace, Mulhouse, France; Faculty of Information Technology, Monash University, Clayton, Victoria, Australia., Gibaud B; LTSI, Inserm UMR 1099, University of Rennes 1, Rennes, France., Grantcharov T; University of Toronto, Toronto, Ontario, Canada; The Li Ka Shing Knowledge Institute of St. Michael's Hospital, Toronto, Ontario, Canada., Hashizume M; Kyushu University, Fukuoka, Japan; Kitakyushu Koga Hospital, Fukuoka, Japan., Heckmann-Nötzel D; Division of Computer Assisted Medical Interventions (CAMI), German Cancer Research Center (DKFZ), Heidelberg, Germany., Kenngott HG; Department for General, Visceral and Transplantation Surgery, Heidelberg University Hospital, Heidelberg, Germany., Kikinis R; Department of Radiology, Brigham and Women's Hospital, and Harvard Medical School, Boston, Massachusetts, USA., Mündermann L; KARL STORZ SE & Co. KG, Tuttlingen, Germany., Navab N; Computer Aided Medical Procedures, Technical University of Munich, Munich, Germany; Department of Computer Science, The Johns Hopkins University, Baltimore, Maryland, USA., Onogur S; Division of Computer Assisted Medical Interventions (CAMI), German Cancer Research Center (DKFZ), Heidelberg, Germany., Roß T; Division of Computer Assisted Medical Interventions (CAMI), German Cancer Research Center (DKFZ), Heidelberg, Germany; Medical Faculty, Heidelberg University, Heidelberg, Germany., Sznitman R; ARTORG Center for Biomedical Engineering Research, University of Bern, Bern, Switzerland., Taylor RH; Department of Computer Science, The Johns Hopkins University, Baltimore, Maryland, USA., Tizabi MD; Division of Computer Assisted Medical Interventions (CAMI), German Cancer Research Center (DKFZ), Heidelberg, Germany., Wagner M; Department for General, Visceral and Transplantation Surgery, Heidelberg University Hospital, Heidelberg, Germany., Hager GD; The Malone Center for Engineering in Healthcare, The Johns Hopkins University, Baltimore, Maryland, USA; Department of Computer Science, The Johns Hopkins University, Baltimore, Maryland, USA., Neumuth T; Innovation Center Computer Assisted Surgery (ICCAS), University of Leipzig, Leipzig, Germany., Padoy N; ICube, University of Strasbourg, CNRS, France; IHU Strasbourg, Strasbourg, France., Collins J; Division of Surgery and Interventional Science, University College London, London, United Kingdom., Gockel I; Department of Visceral, Transplant, Thoracic and Vascular Surgery, Leipzig University Hospital, Leipzig, Germany., Goedeke J; Pediatric Surgery, Dr. von Hauner Children's Hospital, Ludwig-Maximilians-University, Munich, Germany., Hashimoto DA; University Hospitals Cleveland Medical Center, Case Western Reserve University, Cleveland, Ohio, USA; Surgical AI and Innovation Laboratory, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA., Joyeux L; My FetUZ Fetal Research Center, Department of Development and Regeneration, Biomedical Sciences, KU Leuven, Leuven, Belgium; Center for Surgical Technologies, Faculty of Medicine, KU Leuven, Leuven, Belgium; Department of Obstetrics and Gynecology, Division Woman and Child, Fetal Medicine Unit, University Hospitals Leuven, Leuven, Belgium; Michael E. DeBakey Department of Surgery, Texas Children's Hospital and Baylor College of Medicine, Houston, Texas, USA., Lam K; Department of Surgery and Cancer, Imperial College London, London, United Kingdom., Leff DR; Department of BioSurgery and Surgical Technology, Imperial College London, London, United Kingdom; Hamlyn Centre for Robotic Surgery, Imperial College London, London, United Kingdom; Breast Unit, Imperial Healthcare NHS Trust, London, United Kingdom., Madani A; Department of Surgery, University Health Network, Toronto, Ontario, Canada., Marcus HJ; National Hospital for Neurology and Neurosurgery, and UCL Queen Square Institute of Neurology, London, United Kingdom., Meireles O; Massachusetts General Hospital, and Harvard Medical School, Boston, Massachusetts, USA., Seitel A; Division of Computer Assisted Medical Interventions (CAMI), German Cancer Research Center (DKFZ), Heidelberg, Germany., Teber D; Department of Urology, City Hospital Karlsruhe, Karlsruhe, Germany., Ückert F; Institute for Applied Medical Informatics, Hamburg University Hospital, Hamburg, Germany., Müller-Stich BP; Department for General, Visceral and Transplantation Surgery, Heidelberg University Hospital, Heidelberg, Germany., Jannin P; LTSI, Inserm UMR 1099, University of Rennes 1, Rennes, France., Speidel S; Division of Translational Surgical Oncology, National Center for Tumor Diseases (NCT/UCC) Dresden, Dresden, Germany; Centre for Tactile Internet with Human-in-the-Loop (CeTI), TU Dresden, Dresden, Germany.
Jazyk: angličtina
Zdroj: Medical image analysis [Med Image Anal] 2022 Feb; Vol. 76, pp. 102306. Date of Electronic Publication: 2021 Nov 18.
DOI: 10.1016/j.media.2021.102306
Abstrakt: Recent developments in data science in general and machine learning in particular have transformed the way experts envision the future of surgery. Surgical Data Science (SDS) is a new research field that aims to improve the quality of interventional healthcare through the capture, organization, analysis and modeling of data. While an increasing number of data-driven approaches and clinical applications have been studied in the fields of radiological and clinical data science, translational success stories are still lacking in surgery. In this publication, we shed light on the underlying reasons and provide a roadmap for future advances in the field. Based on an international workshop involving leading researchers in the field of SDS, we review current practice, key achievements and initiatives as well as available standards and tools for a number of topics relevant to the field, namely (1) infrastructure for data acquisition, storage and access in the presence of regulatory constraints, (2) data annotation and sharing and (3) data analytics. We further complement this technical perspective with (4) a review of currently available SDS products and the translational progress from academia and (5) a roadmap for faster clinical translation and exploitation of the full potential of SDS, based on an international multi-round Delphi process.
Competing Interests: Declaration of Competing Interest Anand Malpani is a future employee at Mimic Technologies Inc. (Seattle, WA, US). Johannes Fallert and Lars Mündermann are employed at KARL STORZ SE & Co. KG (Tuttlingen, Germany). Hirenkumar Nakawala is employed at CMR Surgical Ltd (Cambridge, UK). Nicolas Padoy is a scientific advisor of Caresyntax (Berlin, Germany). Daniel A. Hashimoto is a consultant for Johnson & Johnson (New Brunswick, NJ, USA), Verily Life Sciences (San Francisco, CA, USA), and Activ Surgical (Boston, MA, USA). He has received research support from Olympus Corporation and the Intuitive Foundation. Carla Pugh is the founder of 10 Newtons Inc. (Madison, WI, US). Danail Stoyanov is employed at Digital Surgery Ltd (London, UK) and Odin Vision Ltd (London, UK). Teodor Grantcharov is the founder of Surgical Safety Technologies Inc. (Toronto, Ontario, Canada). Tobias Roß is employed at Quality Match GmbH (Heidelberg, Germany). All other authors do not declare any conflicts of interest.
(Copyright © 2021. Published by Elsevier B.V.)
Databáze: MEDLINE
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