This book discusses digital twin technologies for applications in the healthcare system. The book also addresses the various research perspectives and challenges in implementation of digital twin technology in terms of data analysis, cloud management and data privacy issues.

This edited book gives insights into the deployment, application, management, and benefits of explainable artificial intelligence (XAI) in medical decision support systems (MDSS). The book discusses XAI-based analytics for patient-specific MDSS as well as related security and privacy issues.

This edited book covers novel techniques and solutions that provide medical information processing and security for smart healthcare applications. It covers the recent trends in the field of medical information processing and focuses on new security approaches and privacy solutions for smart healthcare applications.

This book examines machine learning trends in predictive technology to solve real-time healthcare problems. By using real-time data inputs to build predictive models, this new technology can model disease progression, assist with interventions or predict patient outcomes.

This edited book covers big data analysis methods of patient data gained via IoT-enabled monitoring systems. The information gathered can be processed to aid clinicians with diagnoses, prognoses and interventions. This book is a great reference to those using, designing, modelling and analysing intelligent healthcare services.

This edited book looks at the role technology has played to monitor, map and fight the COVID-19 global pandemic. The vital role that intelligent advanced healthcare informatics has played during this crucial time are explored, as well as e-healthcare, telemedicine, and life support systems.

This edited book focuses on the hardware systems for gait analysis such as speed, pressure, or body angles as well as data visualisation and mathematical models for interpreting this data. The book is written by a range of international researchers from academia, industry, and clinical settings.

This edited book demonstrates the effective use of AI in healthcare via a number of innovative case studies. The editors show how increased use of Artificial Intelligence (AI) can improve the delivery of health care services in areas such as disease detection or medical decision support.