المؤلفون: Seastedt KP; Department of Surgery, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA., Moukheiber D; Laboratory for Computational Physiology, Massachusetts Institute of Technology, Cambridge, MA, USA., Mahindre SA; Institute for Computational and Data Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA., Thammineni C; HILS Laboratory, University at Buffalo, State University of New York, Buffalo, NY, USA., Rosen DT; Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA., Watkins AA; Department of Surgery, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA., Hashimoto DA; Surgical AI & Innovation Laboratory, Department of Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA., Hoang CD; Thoracic Surgery Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA., Kpodonu J; Division of Cardiac Surgery, Department of Surgery, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA., Celi LA; Division of Pulmonary, Critical Care and Sleep Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.

المصدر: European journal of cardio-thoracic surgery : official journal of the European Association for Cardio-thoracic Surgery [Eur J Cardiothorac Surg] 2022 Jan 24; Vol. 61 (2), pp. 239-248.

نوع المنشور: Journal Article; Review

بيانات الدورية: Publisher: Oxford University Press Country of Publication: Germany NLM ID: 8804069 Publication Model: Print Cited Medium: Internet ISSN: 1873-734X (Electronic) Linking ISSN: 10107940 NLM ISO Abbreviation: Eur J Cardiothorac Surg Subsets: MEDLINE

مواضيع طبية MeSH: Thoracic Surgery* , Thoracic Surgical Procedures*/adverse effects, Algorithms ; Artificial Intelligence ; Humans ; Reproducibility of Results