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Improving Quality in Cardiothoracic Surgery: Exploiting the Untapped Potential of Machine Learning

Year: 2022

Type: editorial

Source: The Annals of Thoracic Surgery

DOI: 10.1016/j.athoracsur.2022.06.058

Authors: Agni Orfanoudaki, Joseph A. Dearani, David M. Shahian, Vinay Badhwar, Felix Fernandez, Robert Habib, Michael E. Bowdish, Dimitris Bertsimas

Institutions: University of Oxford, Mayo Clinic, Harvard University, Massachusetts General Hospital, West Virginia University, Emory University, Society of Thoracic Surgeons, Cedars-Sinai Medical Center, Cedars-Sinai Smidt Heart Institute, Massachusetts Institute of Technology

Language: English

Topic: Artificial Intelligence in Healthcare and Education

Subfield: Health Informatics

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W4289780944

Cites: 18

Cited by: 7

Related to: 10