In recent years, data advances, for example in artificial intelligence (AI) and machine learning have gained increasing interest and have resulted in significant advances in wellbeing and quality of life. Specifically, these advancements have impacted e-health development. The consistently expanding volume of clinical data is creating new requirements for the development of savvy e-health and m-wellbeing. With the fast expansion of programming and technology advances such as fake innovations, portable stages, applications, and wearable gadgets, e-wellbeing and m-wellbeing are making strides in the medical service industry. Man-made reasoning, AI, savvy smart gadgets, and high-velocity information transmission are improving medical care. With the constant shift to computerized innovation, fifth-age (5G) correspondence is required as a major organizational foundation to interface with clinical gadgets. Internet of Things (IoT) also makes information available for AI and can advance wellbeing.

This Special Issue aims to examine the progression in man-made reasoning and AI for medical services 5.0. This Special Issue will address difficulties in both the theory and application of AI in wellbeing informatics. We invite submissions focusing on new numerical demonstrating standards for describing physiological intricacy and progressed information logical calculations for exact infection forerunner identification. Furthermore, this Special Issue welcomes research focusing on reasonable and responsible dynamic models, and methods for settling significant medical care-related issues (i.e., security, dependability, and unwavering quality). We welcome both original research and review articles.

Potential topics include but are not limited to the following:

• Supervised and unsupervised machine learning in healthcare 5.0
• Explainable artificial intelligence in healthcare 5.0
• Health 5.0 information representation, services, extraction and discovery
• Health 5.0 information system modelling, design, and health information visualization
• Confidentiality, privacy, and security of health information
• Biometrics in healthcare 5.0 and internet of medical things in healthcare 5.0
• Data mining knowledge, discovery and decision-making support in healthcare 5.0
• Biomedical signal image processing and analysis in healthcare 5.0
• Big data, artificial intelligence and machine Learning for e-health and m-health
• The use of e-health and m-health
• Diagnosis of viruses through artificial intelligence and machine learning and computational intelligence on e-health and m-health
• Big medical data, security, trust and privacy in e-health and m-health
• E-health and m-health-related software, equipment, and technology
• AI in computer-aided diagnosis systems
• Knowledge engineering in medical data-driven, applications of machine learning techniques and preventive healthcare through digital technologies