Artificial Intelligence in Surgery: Understanding the Role of AI in Surgical Practice

By Daniel A Hashimoto, Guy Rosman, Ozanan R. Meireles

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Build a solid foundation in surgical AI with this engaging, comprehensive guide for AI novices

Machine learning, neural networks, and computer vision in surgical education, practice, and research will soon be de rigueur. Written for surgeons without a background in math or computer science, Artificial Intelligence in Surgery provides everything you need to evaluate new technologies and make the right decisions about bringing AI into your practice.

Comprehensive and easy to understand, this first-of-its-kind resource illustrates the use of AI in surgery through real-life examples. It covers the issues most relevant to your practice, including:

Neural Networks and Deep LearningNatural Language ProcessingComputer VisionSurgical Education and SimulationPreoperative Risk StratificationIntraoperative Video AnalysisOR Black Box and Tracking of Intraoperative EventsArtificial Intelligence and Robotic SurgeryNatural Language Processing for Clinical DocumentationLeveraging Artificial Intelligence in the EMREthical Implications of Artificial Intelligence in SurgeryArtificial Intelligence and Health PolicyAssessing Strengths and Weaknesses of Artificial Intelligence Research

Finally, the appendix includes a detailed glossary of terms and important learning resources and techniques―all of which helps you interpret claims made by studies or companies using AI.

• Format: Hardcover
• Language: English
• ISBN: 1260452735
• ISBN13: 9781260452730
• Release Date: July 2021
• Publisher: McGraw Hill / Medical
• Length: 432 Pages
• Weight: 2.35 lbs.
• Dimensions: 1.1" x 7.6" x 9.4"