Ai And Robotics In Surgery Enhancing Surgical Precision And Outcomes
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AI and Robotics in Surgery: Enhancing Surgical Precision and Outcomes
Author: Dr. RVS Praveen
language: en
Publisher: Addition Publishing House
Release Date: 2024-10-29
AI and Robotics in Surgery is a pioneering text that explores the transformative role of artificial intelligence and robotic systems in modern surgery. This book examines the synergy between AI and robotics, providing a thorough understanding of their applications in surgical practice, from preoperative planning to post-operative monitoring. The book covers the various types of robotic surgical systems currently in use, including their functionalities, advantages, and limitations. It delves into the integration of AI in surgical robots, focusing on how machine learning algorithms enhance decision-making, improve precision, and optimize surgical outcomes. Additionally, the book explores how AI can analyze vast amounts of patient data to provide predictive insights, making surgeries more efficient and tailored to individual patient needs. Written by leading experts in the field, the book also addresses the challenges of implementing AI and robotics in clinical settings, such as training, costs, and patient safety. Ethical concerns related to automation in surgery are also discussed, providing a balanced perspective on the potential risks and rewards. This book is an essential resource for medical professionals, researchers, and students interested in the future of surgery and the role of technology in advancing patient care.
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