Surgical Decision Making, Evidence, and Artificial Intelligence, An Issue of Surgical Clinics, 1st Edition
特長
著者情報
| ISBN Number | 9780323939799 |
|---|---|
| Description Author List | Edited by Jason Bingham, MD, Director of Surgical Research, Madigan Army Medical Center and Matt Eckert, MD, Assistant Professor, UNC General and Acute Care Surgery Clinic |
| Copyright Year | 2023 |
| Edition Number | 1 |
| Format | Book |
| Trim | Other |
| Imprint | Elsevier |
| Page Count | 240 |
| Publication Date | 27 Mar 2023 |
| Stock Status | IN STOCK |
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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
