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Minerva Cardioangiologica 2020 Sep 29

DOI: 10.23736/S0026-4725.20.05235-4

Copyright © 2020 EDIZIONI MINERVA MEDICA

lingua: Inglese

Artificial intelligence in cardiothoracic surgery

Roger D. DIAS 1, 2 , Julie A. SHAH 3, Marco A. ZENATI 4, 5

1 STRATUS Center for Medical Simulation, Brigham Health, Boston, MA, USA; 2 Department of Emergency Medicine, Harvard Medical School, Boston, MA, USA; 3 Computer Science and Artificial Intelligence Lab, Massachusetts Institute of Technology, Cambridge, MA, USA; 4 Medical Robotics and Computer Assisted Surgery (MRCAS) Laboratory, Division of Cardiothoracic Surgery, Veterans Affairs Boston Healthcare System, Boston, MA, USA; 5 Department of Surgery, Harvard Medical School, Boston, MA, USA


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The tremendous and rapid technological advances that humans have achieved in the last decade have definitely impacted how surgical tasks are performed in the operating room (OR). As a high-tech work environment, the contemporary OR has incorporated novel computational systems into the clinical workflow, aiming to optimize processes and support the surgical team. Artificial intelligence (AI) is increasingly important for surgical decision making to help address diverse sources of information, such as patient risk factors, anatomy, disease natural history, patient values and cost, and assist surgeons and patients to make better predictions regarding the consequences of surgical decisions. In this review, we discuss the current initiatives that are using AI in cardiothoracic surgery and surgical care in general. We also address the future of AI and how high-tech ORs will leverage human-machine teaming to optimize performance and enhance patient safety.


KEY WORDS: Artificial intelligence; Machine learning; Cardiothoracic surgery; Surgical data science; Cognitive engineering

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