Surgical Decision Making, Evidence, and Artificial Intelligence, An Issue of Surgical Clinics

Timely, relevant discussions on the latest research in the field

Jason Bingham (Edited by), Matt Eckert (Edited by)

9780323939799, Elsevier Health Sciences

Hardback, published 27 March 2023

240 pages
28 x 19 x 2.1 cm, 0.45 kg

In this issue, guest editors bring their considerable expertise to this important topic.

Provides in-depth reviews on the latest updates in the field, providing actionable insights for clinical practice. Presents the latest information on this timely, focused topic under the leadership of experienced editors in the field. Authors synthesize

Big Data in Surgery
Categories of Evidence and Methods in Surgical Decision-Making
Clinical Informatics and the Electronic Medical Record
Modern Statistical Methods for the Surgeon Scientist: The Clash of Frequentist versus Bayesian Paradigms
Cognitive Bias and Dissonance in Surgical Practice: A Narrative Review
Generation Learning Differences in Surgery: Why They Exist, Implication, and Future Directions
Machine Learning and Artificial Intelligence in Surgical Research
Interpretation and Use of Applied/Operational Machine Learning and Artificial Intelligence in Surgery
Beyond the Spreadsheet: Data Management for Physicians in the Era of Big Data
Privacy, Data Sharing, and Other Legal Considerations
Impact of Digital Health upon the Surgical Patient Experience: The Patient as Consumer

Subject Areas: General surgery [MNC]