Machine Intelligence for Internet of Medical Things: Applications and Future Trends 1st Edition

Capture the cutting edge of healthcare technology with Machine Intelligence for Internet of Medical Things: Applications and Future Trends, 1st Edition by Mariya Ouaissa. This authoritative guide connects the promise of Machine Intelligence with the real-world demands of the Internet of Medical Things (IoMT), offering a clear roadmap for clinicians, engineers, researchers, and healthcare leaders across hospitals, clinics, and telemedicine platforms worldwide.

Discover practical insights into how AI-driven models, edge computing, sensor networks, and secure data pipelines transform patient monitoring, diagnostics, remote care, and chronic-disease management. Through accessible explanations and real-world examples, the book unpacks core technologies—machine learning, deep learning, anomaly detection, and predictive analytics—alongside essential topics such as privacy, cybersecurity, interoperability, and regulatory considerations that matter to healthcare systems in the US, Europe, Asia, and emerging markets.

Whether you’re a biomedical engineer designing smarter medical devices, a data scientist building clinically robust models, or a hospital CIO planning scalable IoMT deployments, this volume translates advanced concepts into actionable strategies. You’ll gain frameworks for evaluation, deployment roadmaps, and guidance on ethical, legal, and operational challenges that accompany digital health innovation.

Forward-looking yet grounded in practical application, Mariya Ouaissa’s work maps current applications and future trends to help institutions accelerate safe, effective, and compliant adoption of IoMT solutions. Add this essential resource to your professional library to stay ahead of evolving medical technologies and shape the future of connected healthcare. Order your copy today and start transforming data into better patient outcomes.

Note: eBooks do not include supplementary materials such as CDs, access codes, etc.