Ai Revolution In Medicine Healthcare Digital Transformation Through Artificial Intelligence
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Digital Health Transformation with Blockchain and Artificial Intelligence
The book Digital Health Transformation with Blockchain and Artificial Intelligence covers the global digital revolution in the field of healthcare sector. The population has been overcoming the COVID-19 period; therefore, we need to establish intelligent digital healthcare systems using various emerging technologies like Blockchain and Artificial Intelligence. Internet of Medical Things is the technological revolution that has included the element of "smartness" in the healthcare industry and also identifying, monitoring, and informing service providers about the patient’s clinical information with faster delivery of care services. This book highlights the important issues i.e. (a) How Internet of things can be integrated with the healthcare ecosystem for better diagnostics, monitoring, and treatment of the patients, (b) Artificial Intelligence for predictive and preventive healthcare systems, (c) Blockchain for managing healthcare data to provide transparency, security, and distributed storage, and (d) Effective remote diagnostics and telemedicine approach for developing smart care. The book encompasses chapters belong to the blockchain, Artificial Intelligence, and Big health data technologies. Features: Blockchain and internet of things in healthcare systems Secure Digital Health Data Management in Internet of Things Public Perception towards AI-Driven Healthcare Security, privacy issues and challenges in adoption of smart digital healthcare Big data analytics and Internet of things in the pandemic era Clinical challenges for digital health revolution Artificial intelligence for advanced healthcare Future Trajectory of Healthcare with Artificial Intelligence 9 Parkinson disease pre-diagnosis using smart technologies Emerging technologies to combat the COVID-19 Machine Learning and Internet of Things in Digital Health Transformation Effective Remote Healthcare and Telemedicine Approaches Legal implication of blockchain technology in public health This Book on "Digital Health Transformation with Blockchain and Artificial Intelligence" aims at promoting and facilitating exchanges of research knowledge and findings across different disciplines on the design and investigation of secured healthcare data analytics. It can also be used as a textbook for a Masters course in security and biomedical engineering. This book will also present new methods for the medical data analytics, blockchain technology, and diagnosis of different diseases to improve the quality of life in general, and better integration into digital healthcare.
AI Revolution in Medicine & HealthCare: Digital Transformation through Artificial Intelligence
The healthcare industry is on the brink of a revolutionary transformation, driven by the boundless potential of artificial intelligence (AI). In AI Revolution in Medicine & Healthcare Industry: Digital Transformation through Artificial Intelligence, Author Jayant Deshmukh takes you on an enlightening journey into how AI is reshaping the landscape of medicine, redefining patient care, and unlocking possibilities we once thought were out of reach. Drawing from over 16 years of experience in global healthcare and digital transformation, the author explores how AI is not just a tool but a game-changing catalyst for innovation. This book is a comprehensive guide that demystifies the role of AI in predictive analytics, patient engagement, operational efficiency, and even global health challenges. Through engaging storytelling, real-life examples, and a humanized tone, Jayant brings to life the immense power of AI in transforming healthcare into an equitable, efficient, and patient-centric ecosystem. What’s Inside? Emerging AI Technologies: Discover how AI integrates with IoT, blockchain, and quantum computing to create "smart hospitals" and connected healthcare ecosystems. Preventive Healthcare: Learn how AI predicts diseases, enables real-time monitoring through wearable devices, and crafts personalized wellness programs. Patient Engagement: Explore the transformative impact of AI-powered virtual assistants, chatbots, and personalized feedback systems. Global and Public Health: Uncover how AI addresses health inequities, supports underserved regions, and manages pandemics with unmatched precision. Ethical and Regulatory Challenges: Understand the balance between innovation and ethics, and the need for explainable, transparent AI in healthcare. Inspiring Stories: Dive into real-world success stories of lives saved and improved by AI-powered solutions. This book is not just about technology; it’s about humanity. It’s about building a bridge between human expertise and machine intelligence to create a future where healthcare is accessible, affordable, and effective for everyone. Whether you are a healthcare professional, a technology enthusiast, or simply someone curious about the future of medicine, this book will leave you inspired and empowered to embrace the AI revolution. Why This Book? Jayant Deshmukh blends his global exposure, deep technical knowledge, and passion for social impact to offer readers a unique perspective on AI in healthcare. His vision of a healthier, more connected world powered by AI is a call to action for all of us to explore, support, and innovate with this transformative technology. This is more than a book; it’s a movement toward a brighter, healthier future. Together, let’s embrace the possibilities of AI in medicine and embark on a journey that promises to transform lives worldwide. Join the revolution by Grabbing your Copy now..!!
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