Commentary: Machine learning in clinical decision-making

Amanda C Filiberto; Daniel A Donoho; Ira L Leeds; Tyler J Loftus

doi:10.3389/fdgth.2023.1214111

Commentary: Machine learning in clinical decision-making

Front Digit Health. 2023 Jul 31:5:1214111. doi: 10.3389/fdgth.2023.1214111. eCollection 2023.

Authors

Amanda C Filiberto¹, Daniel A Donoho², Ira L Leeds³, Tyler J Loftus¹

Affiliations

¹ Department of Surgery, University of Florida, Gainesville, FL, United States.
² School of Medicine and Health Sciences, George Washington University, Washington, DC, United States.
³ School of Medicine, Yale University, New Haven, CT, United States.

No abstract available

Keywords: artificial intelligence; data science; decision support; machine learning; surgery.

Publication types

Comment

Grants and funding

TL was supported by the National Institute of General Medical Sciences of the National Institutes of Health under Award Numbers K23 GM140268 and R01 GM149657. TL was also supported by the Thomas Maren Junior Investigator Fund. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.