This book offers a comprehensive exploration of artificial intelligence's transformative impact on the healthcare sector as it relates to SDG #3: Good Health and Well-Being, highlighting its potential to revolutionize traditional practices. It delves into the integration of AI across various facets of healthcare, from data collection and processing to diagnostic algorithms and predictive analytics. Designed as an essential resource, it serves researchers, clinicians, technologists, and policymakers eager to harness AI to improve patient outcomes and system efficiency.

The chapters present a diverse array of AI applications, bridging foundational research with cutting-edge innovations. Readers will encounter intelligent frameworks for healthcare data, multimodal disease analysis techniques, and advanced clinical decision support systems. The volume also explores transformative technologies like augmented reality for patient care, AI-powered prosthetics, and IoT-enabled real-time monitoring. Emphasizing patient-centric advancements, it discusses personalized care through AI, conversational agents, and secure architectures for 5G-enabled healthcare ecosystems.

Ideal for researchers and postgraduate students in AI, computer vision, and related fields, this book provides modern techniques, tools, and case studies for practical implementation. As AI continues to redefine healthcare boundaries, this volume inspires responsible innovation and collaborative progress, encouraging readers to engage critically and contribute to ethical AI deployment in healthcare.

Includes Smart and Secure methodologies in healthcare as it relates to SDG #3 Explores GenAI and XAI techniques Covers AR-VR and HCI in depth Explores the operational efficiency of healthcare 4.0 for enhanced patient care through the lens of SDG #3

Inhalt

"Explainable Deep Learning for COVID-19 and Chest Disease Detection: A Dual-Model Approach Using DenseNet121 and UNet".- Explainable Artificial Intelligence in Smart Healthcare.- Classification of Anti-Nuclear Antibody Pattern using Deep Learning.- Extensive investigation on Smart Healthcare and Alzheimer's disease prediction using Multimodal data.- AI-Powered Smart Healthcare: Transformative Frameworks and Next-Generation Algorithms.- Strategic Development of Smart Prosthetic Lower Limb with Trainable Model for Balanced Movement.- Data-Driven Intelligence in Electronic Health Records (EHRs).- Advancement in Psychiatric Disorder Detection: Roadmap in BrainComputer Interfacing using Graph Neural Network.- Exploring the Potential of Augmented and Virtual Reality for Patient Care and Medical Innovation.- Transforming Healthcare with Electronic Health Records: AI Integration, Evolution, and Future.- AI enabled Intrusion Detection Systems for IoT Healthcare: Current Trends, Challenges, and Future Opportunities.- Multimodal Biometric Emotion Recognition for Mental Health Monitoring Using AI-DL Techniques.- Federated Learning in Privacy Preservation and Security Enhancement for eHealthcare Systems.- Proposed Privacy-Preserving Framework on Medical Handwritten Prescription using Blockchain.- Study on Secure and Resilient Architectures for 5G Healthcare ecosystem.- Chikitsak: Medical Chatbot Using BioBert and GPT-2 Model.- Clinical Decision Support System using GenAI.- An AI-based Secure and Robust customized patient health care system using blockchain technology.- Empowering patients through AI technologies: contextualize and personalize patient care.- IoT-Enabled Real-Time Monitoring of IVF Embryo Culture Conditions: Integration of Machine Learning Techniques.