Intelligent Healthcare Systems

PART 1: INTELLIGENCE MEANINGS AND ROLES IN HEALTHCARE: INTRODUCTORY ASPECTS. Introduction to Intelligent Healthcare in a Post-Pandemic World. The Building Blocks of Health 4.0 - Internet of Things, Big Data with Cloud and Fog Computing. Internet of Medical Things (IoMT) Layers for Medical Cyber-Physical Systems. Ad Hoc Networks in Healthcare Intelligent Transportation Systems - MANETs, VANETs, and FANETs. Scale and Resolution Issues regarding Medical Images: Challenges Ahead. Some Issues regarding Content-Based Image Retrieval (CBIR) for Remote Healthcare Theradiagnosis. Blockchain Technology Enabling Better Services in the Healthcare Domain. 6G in Healthcare - Anticipating Needs and Requirements. PART 2: INFRASTRUCTURAL MEDICAL APPLICATIONS. Remote Sensing Applications in Disease Mapping and Public Health Analysis. On DICOM, HEVC and 3D Medical Image Compression for Volumetric Theragnostics. Deep Learning as a Drive Force for Better Drug Development. In-Body Devices and Sensors Communication - How Implantables, Ingestibles, and Injectables Interact with the Internet. Nanotechnology, Internet of Nano-things and Nanorobotics in Healthcare - Nano for All. Digital Twin Framework for Intelligent Healthcare Facilities through ISO/IEEE 11073. PART 3: ADVANCED APPLICATIONS USING AI. Medical Visual Theragnostic Systems Using Artificial Intelligence (AI) - Principles and Perspectives. Metaheuristics Applied to Pathology Image Analysis. Mobile Agents and Blockchain for Robust and Secure Authentication and Access Control in Healthcare Systems. Super-resolution Image Processing for Hemoglobin Quantification: A Case Study. BrATCat: Data Augmentation of MRI Scans via Image-to-Image Translation using CycleGAN Followed by Pre-Trained Model Categorization.