Mastering AI for Healthcare 1st Edition

Description

Harness AI-led Revolution to Deliver Smarter, Faster, and Better Healthcare.

Key Features
● Comprehensive coverage of AI tools, use cases, and strategies in healthcare
● Real-world examples from telemedicine, diagnostics, and EHR systems
● Thoughtful exploration of AI ethics, adoption barriers, and future directions

Book Description
Artificial Intelligence is rapidly becoming indispensable in modern healthcare—reshaping how we diagnose, treat, and deliver care. Mastering AI for Healthcare offers a clear, structured journey through this transformation, helping readers understand the critical role AI plays in improving clinical outcomes and operational efficiency.

The book begins with foundational AI concepts tailored for healthcare professionals, establishing a solid base in machine learning, neural networks, and data science. It then guides readers through practical applications across the care continuum—exploring how predictive analytics can forecast disease risks, how AI powers telemedicine and remote monitoring systems, and how it enhances clinical decision-making through smarter, data-driven EHR systems. Each chapter builds with real-world examples, case studies, and implementation frameworks, offering clarity on emerging tools like computer vision for diagnostics, personalized treatment algorithms, and intelligent automation in hospital workflows.

Whether you’re a healthcare professional, researcher, or policymaker, this book provides the insights you need to stay ahead in a tech-driven world. Don’t get left behind—embrace the tools shaping the future of medicine and lead the change with confidence.

What you will learn
● Grasp essential AI concepts and their relevance to healthcare systems
● Apply predictive analytics to real-world patient and clinical scenarios
● Utilize AI in telehealth, remote monitoring, and digital health platforms
● Strengthen decision-making through AI-powered EHR and clinical support
● Interpret AI-driven diagnostic tools and imaging technologies
● Recognize ethical, legal, and operational challenges in AI integration

Table of Contents
1. Introducing AI in Healthcare
2. AI Fundamentals for Healthcare
3. Predictive Analysis in Healthcare
4. Artificial Intelligence in Telemedicine Remote Patient Monitoring
5. AI in Clinical Decision Support and Electronic Health Record
6. Imaging and Diagnosis Using AI
7. Challenges and Limitations of AI in Healthcare
8. Future of AI in Healthcare
Index

About the Authors
Nilashis Roy is a seasoned AI Scientist with a strong background in R&D, IT, Marketing, and Operations. He excels in leveraging the power of Data Analytics and Artificial Intelligence to lead digital transformation, especially in the healthcare sector. His expertise lies in analyzing trends and deriving valuable insights to enhance patient outcomes and revolutionize the healthcare industry.

Romita Ghosh is a passionate healthcare innovator on a mission to address unmet clinical needs and create lasting social impact. Her journey—rooted in personal resilience—began in 1998 after surviving a life-threatening illness. Since then, she has impacted over a million lives through her work at the intersection of health and technology, earning honors such as the Women Transforming India Award 2021.