Surgical Decision Making, Evidence, and Artificial Intelligence, An Issue of Surgical Clinics, 1st Edition
Editors :
Jason Bingham & Matt Eckert
In this issue, guest editors bring their considerable expertise to this important topic.
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
Author Information
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
| ISBN Number | 9780323939799 |
|---|---|
| Main Author | Edited by Jason Bingham, MD and Matt Eckert, MD |
| Copyright Year | 2023 |
| Edition Number | 1 |
| Format | Book |
| Trim | Other |
| Imprint | Elsevier |
| Page Count | 240 |
| Publication Date | 26 Mar 2023 |
| Stock Status | IN STOCK - This may take up to 5 business days to ship |
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
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
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Surgical Decision Making, Evidence, and Artificial Intelligence, An Issue of Surgical Clinics
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In this issue, guest editors bring their considerable expertise to this important topic. In this issue, guest editors bring their considerable expertise to this important topic.
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9780323939799
2023
Professional
Edited by Jason Bingham, MD and Matt Eckert, MD
2023
1
Book
Other
Elsevier
240
Mar 26, 2023
IN STOCK - This may take up to 5 business days to ship
Edited by <STRONG>Jason Bingham</STRONG>, MD, Director of Surgical Research, Madigan Army Medical Center and <STRONG>Matt Eckert</STRONG>, MD, Assistant Professor, UNC General and Acute Care Surgery Clinic
Clinics
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