Description of Artificial Intelligence in Surgery: Understanding the Role of AI in Surgical Practice
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 Learning
- Natural Language Processing
- Computer Vision
- Surgical Education and Simulation
- Preoperative Risk Stratification
- Intraoperative Video Analysis
- OR Black Box and Tracking of Intraoperative Events
- Artificial Intelligence and Robotic Surgery
- Natural Language Processing for Clinical Documentation
- Leveraging Artificial Intelligence in the EMR
- Ethical Implications of Artificial Intelligence in Surgery
- Artificial Intelligence and Health Policy
- Assessing 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.
About the Author
Daniel A. Hashimoto, MD, MS, is the Associate Director of Research at the Surgical Artificial Intelligence & Innovation Laboratory at the Massachusetts General Hospital. He is co-chair of the Artificial Intelligence Task Force for the Society of American Gastrointestinal and Endoscopic Surgeons and has published in the New England Journal of Medicine, Nature Biotechnology, and Annals of Surgery, amongst others.
Guy Rosman, PhD, is the Associate Director of Engineering at the Surgical Artificial Intelligence & Innovation Laboratory and senior research scientist at the Toyota Research Institute, where he works on inference topics related to autonomous driving.
Ozanan R. Meireles, MD, FACS, is the Director of the Surgical Artificial Intelligence & Innovation Laboratory and Assistant Professor of Surgery at Massachusetts General Hospital and Harvard Medical School.