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

  • 1st Edition, Volume 103-2 - March 26, 2023
  • Latest edition
  • Editors: Jason Bingham, Matt Eckert
  • Language: English

In this issue, guest editors bring their considerable expertise to this important… Read more

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Description

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

Key features

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

Table of contents

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

Product details

  • Edition: 1
  • Latest edition
  • Volume: 103-2
  • Published: March 26, 2023
  • Language: English

About the editors

JB

Jason Bingham

Affiliations and expertise
Director of Surgical Research, Madigan Army Medical Center

ME

Matt Eckert

Affiliations and expertise
Assistant Professor, UNC General and Acute Care Surgery Clinic