
eBook - ePub
Mastering AI for Healthcare
Revolutionizing Patient Care and Outcomes Through Hands-on AI-Driven Solutions (English Edition)
- English
- ePUB (mobile friendly)
- Available on iOS & Android
eBook - ePub
Mastering AI for Healthcare
Revolutionizing Patient Care and Outcomes Through Hands-on AI-Driven Solutions (English Edition)
About this book
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 directionsBook DescriptionArtificial Intelligence is rapidly becoming indispensable in modern healthcareâreshaping 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 continuumâexploring 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 behindâembrace 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 integrationTable of Contents1. Introducing AI in Healthcare2. AI Fundamentals for Healthcare3. Predictive Analysis in Healthcare4. Artificial Intelligence in Telemedicine Remote Patient Monitoring5. AI in Clinical Decision Support and Electronic Health Record6. Imaging and Diagnosis Using AI7. Challenges and Limitations of AI in Healthcare8. Future of AI in Healthcare    IndexAbout the AuthorsNilashis 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 journeyârooted in per
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Yes, you can access Mastering AI for Healthcare by Nilashis Roy,Romita Ghosh in PDF and/or ePUB format, as well as other popular books in Computer Science & Artificial Intelligence (AI) & Semantics. We have over one million books available in our catalogue for you to explore.
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Table of contents
- Cover Page
- Title Page
- Copyright Page
- Dedication Page
- About the Authors
- About the Technical Reviewer
- Acknowledgements
- Preface
- Get a Free eBook
- Errata
- 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