Artificial Intelligence In Surgery Understanding The Role Of Ai In Surgical Practice
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Artificial Intelligence in Surgery: Understanding the Role of AI in Surgical Practice
Author: Daniel A. Hashimoto
language: en
Publisher: McGraw Hill Professional
Release Date: 2021-03-08
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.
Artificial Intelligence in Healthcare
Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. - Highlights different data techniques in healthcare data analysis, including machine learning and data mining - Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks - Includes applications and case studies across all areas of AI in healthcare data
Fischer's Mastery of Surgery
Author: E. Christopher Ellison
language: en
Publisher: Lippincott Williams & Wilkins
Release Date: 2023-09-12
For 40 years, Fischer’s Mastery of Surgery has provided expert, highly illustrated coverage of the procedures that general surgeons and trainees need to know. The fully revised eighth edition, under the editorial leadership of Drs. E. Christopher Ellison, Gilbert R. Upchurch Jr., Philip A. Efron, Steven D. Wexner, Nancy D. Perrier, V. Suzanne Klimberg, John H. Stewart IV, Valerie W. Rusch, Jon C. Gould, Susan Galandiuk, Timothy M. Pawlik, William C. Chapman, Benjamin K. Poulose, Peter K. Henke, Alicia M. Mohr, Saleem Islam, Anne M.R. Agur, Carol Scott-Conner, and David Renton continues the tradition of excellence with two full-color volumes that include the essentials of diagnosis, anatomy, and pre-operative planning while maintaining a focus on clear, step-by-step depictions and descriptions of procedures.