My Account Details
ISBN10: 1260452743 | ISBN13: 9781260452747
ISBN10: 1260452743
ISBN13: 9781260452747
Step 1 . Download Adobe Digital Editions to your PC or Mac desktop/laptop.
Step 2. Register and authorize your Adobe ID (optional). To access your eBook on multiple devices, first create an Adobe ID at account.adobe.com. Then, open Adobe Digital Editions, go to the Help menu, and select "Authorize Computer" to link your Adobe ID.
Step 3. Open Your eBook. Use Adobe Digital Editions to open the file. If the eBook doesn’t open, contact customer service for assistance.
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.
1. A Brief History of Artificial Intelligence - Maria S. Alteiri, Cara B. Jones, and Guy Rosman
2. Large Databases in Surgery - Sanford E. Roberts and Rachel R. Kelz
3. Machine Learning for Medicine - Frank Rudzicz
4. Neural Networks and Deep Learning - Deepak Alapatt, Pietro Mascagni, Vinkle Srivastav, and Nicolas Padoy
5. Natural Language Processing - Leo Anthony Celi, Daniel Gruhl, Euma Ishii, Chaitanya Shivade, Joseph Terdiman, and Joy Tzung-yu Wu
6. Computer Vision in Surgery: Fundamental Principles and Applications - Daniel A. Hashimoto, Amin Madani, Allison Navarrete-Welton, and Guy Rosman
7. Artificial Intelligence for Surgical Education and Intraoperative Analysis - Babak Namazi, Venkat Devarajan, and Ganesh Sankaranarayanan
8. Automated Surgical Coaching for Individual Improvement - Anand Malpani
9. Preoperative Risk Stratification - Majed W. El Hechi, Samer A. Nour Eddine, and Haytham M.A. Kaafarani
10. The OR Black Box System - Marc Levin, Mitchell G. Goldenberg, and Teodor P. Grantcharov
11. Applications of Deep Learning in Surgery - Quanzheng Li
12. Artificial Intelligence in Robotic Surgery - Daniel Naftalovich, Camille Stewart, Joel Burdick, and Yuman Fong
13. Natural Language Processing and Artificial Intelligence for Clinical Documentation - David Y. Ting
14. Ethics of Artificial Intelligence in Surgery - Frank Rudzicz and Raeid Saqur
15. Policy Implications of Artificial Intelligence in Surgery - Benjamin H. Jacobson, Megan B. Diamond, and Winta T. Mehtsun
16. Practical Considerations in Utilization of Computer Vision - Thomas Ward
17. Assessment of Artificial Intelligence Research in Surgery - Daniel A. Hashimoto
18. Automation and the Future of Surgery - Ozanan R. Meireles, Daniela Rus, and Daniel A. Hashimoto
Appendices
Appendix I - Glossary
Appendix II - Resources for Additional Education in Artificial Intelligence
Need support? We're here to help - Get real-world support and resources every step of the way.
Top