The Hospital Manager S Guide To Artificial Intelligence

The Hospital Manager’s Guide to Artificial Intelligence

This book presents an essential guide to understanding the power of artificial intelligence in reshaping the healthcare system. In the rapidly evolving world of healthcare, a guide of how to use artificial intelligence in hospital management is crucial. The book explores how readers can use artificial intelligence to optimize patient care, costs, revenue, and profits. It examines real-world applications and case studies and provides theoretical concepts together with examples in order to show the hospital manager how to avoid over-testing, over-treating, and over-resourcing, how to enhance the pathology and radiology departments, how to use the Internet of Surgical things together with virtual and augmented reality. Besides this, it is shown how multiple artificial intelligence models can be used in disaster scenarios. Whether readers are computer scientists, mathematicians, healthcare professionals, medical students, or tech enthusiasts, this book provides a clear look into how artificial intelligence is shaping the future of hospitals. Embrace the chance artificial intelligence brings to the healthcare system and learn how it can be used to save lives today.

The Hospital Manager's Guide to Artificial Intelligence

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