AI and IoT-Based Technologies for Precision Medicine (PDF)

by Khang Alex (Author)
In the dynamic landscape of post covid-19 healthcare, the demand for smart healthcare solutions and precision medicine systems has become paramount. Addressing these pressing challenges, AI and IoT-Based Technologies for Precision Medicine emerges as a comprehensive book, equipping doctors, scholars, researchers, engineers, and students with the knowledge and tools to leverage AI solutions and IoT-based technologies in healthcare services. From predictive disease analysis to informed decision-making, the book presents advanced methodologies and models that elevate the precision medicine ecosystem. Within the pages of this book, readers will be given the opportunity to gain a profound understanding of the prospects and challenges arising from AI-powered applications and IoT-equipped techniques in smart healthcare. Bridging the gap between theory and practice, the book explores fundamental concepts, real-time supporting systems, and human-like robotics, propelling the high-tech medical industry toward transformative advancements. By addressing machine learning, deep learning, computer vision in medicine, AI-integrated applications, IoT-based technologies, healthcare data analytics, and biotechnology application, the book empowers healthcare professionals to pioneer innovative solutions and drive efficiency, accuracy, and security in medical practices. AI and IoT-Based Technologies for Precision Medicine serve as an authoritative guide, fostering collaboration and knowledge sharing among healthcare scholars and professionals. Embrace this indispensable resource to harness the full potential of AI and IoT, revolutionizing medical practices, bolstering healthcare services, and propelling the smart healthcare revolution forward. With this book in hand, readers can navigate the ever-changing landscape of high-tech medicine, making informed strides toward a cutting-edge and precise medical ecosystem.
Product Details

Publisher: Engineering Science Reference;
ISBN: 9798369308783
ISBN: 9798369308769
Copyright: 2023