Full Description
Strategies for Artificial Intelligence in Healthcare, sheds light on the ever-changing world of AI Artificial Intelligence (AI) within the healthcare industry.
As AI technology rapidly advances, the healthcare industry is becoming its most significant and impactful beneficiary. From the authors viewpoint, AI is revolutionizing healthcare with the promise of improving patient outcomes, lowering costs, and increasing access and efficiency. The use of AI in healthcare is not a new concept. In fact, it has been around for decades, but it is only in recent years that its potential has been fully realized. From the development of new surgical techniques to the use of telemedicine for remote patient care, technology has revolutionized the way healthcare is delivered. With the rise of big data and cloud computing, AI will be an essential toolkit for healthcare professionals, enabling the ability to harness the immense data power in ways that were previously unimaginable. With real-world case studies, practical applications, and purpose methods, Strategies for Artificial Intelligence in Healthcare is the ultimate guide to navigating the modern healthcare industry with AI. The second edition provides up-to-date material and refreshes and updates case studies.
Whether you're an experienced healthcare professional wanting to stay up to date or simply curious about the latest technology, this book offers unique and valuable insights for the future of healthcare with Artificial Intelligence by its side.
Contents
Preface. About the Author: Dr. Frank Papay. About the Author: Dr. Piyush Mathur. Section 1: The WHY (of AI in Healthcare). Chapter 1: History and Evolution of AI in Healthcare. Chapter 2: Purpose to Impact. Section 2: The WHO (of AI in Healthcare). Chapter 3: Team Building. Chapter 4: WHO-Building a Team for AI/ML. Section 3: The WHAT (of AI in Healthcare). Chapter 5: Healthcare Value Proposition. Chapter 6: Limitations of AI in Medicine. Chapter 7: Setting Project Objectives. Chapter 8: AI Regulation in Healthcare. Chapter 9: AI and Intellectual Property. Chapter 10: Data and Purposes in AI. Section 4: The HOW (of AI in Healthcare). Chapter 11: Algorithm Development Strategy. Chapter 12: From Vectors to Algorithms. Chapter 13: Modular Approach to Algorithm and AI Development. Chapter 14: Generative Artificial Intelligence. Chapter 15: User-Ability of AI Systems. Chapter 16: Application Integration of AI in Healthcare. Section 5: The WHEN (of AI in Healthcare). Chapter 17: Ethical Implications and Governance of AI. Chapter 18: The Debate on the Governance of AI. Chapter 19: Quantum Computing Strategies for Healthcare. Chapter 20: Future of AI in Healthcare. Section 6: About BrainX. Our Story. Suggested Readings
