This book brings together cutting-edge research and innovative applications of artificial intelligence, machine learning, wearable technologies and decision support systems in modern healthcare. The chapters demonstrate how these artificial intelligence innovations are driving next-generation healthcare solutions. The chapters present diverse clinical applications through advanced artificial intelligence approaches in diagnostics, treatment, rehabilitation and healthcare management, with a strong emphasis on patient-centred solutions. This book is directed to students, professors, researchers, practitioners in the field of healthcare, engineering, computer science and related areas.

Presents the use of artificial intelligence and machine learning techniques in medical diagnostics and imaging Focuses Intelligent Diagnostics and Imaging Technologies in Healthcare Written by experts in the field

Inhalt

Self-supervised and disease management system for diabetic retinopathy detection.- GAN-enhanced Abdominal MR-CT Image Fusion in Transform Domain.- U-Net with Attention for the Automatic Segmentation of the Major Temporal Arcade in Retinal Fundus Images.- Harnessing Few-Shot Learning Segmentation for Histopathology: A Comprehensive Practical Study.- Healthcare Applications of Object Detection for Tumor Detection Across Diverse Medical Imaging.- Automatic Multilabel Classification of Coronary Stenosis using Lightweight Deep
Learning Techniques.