This book explores cutting-edge AI algorithms, deep learning techniques, and computer vision applications for forensic and medical image analysis. This book offers an in-depth examination of AI-powered radiology, forensic facial reconstruction, automated pathology detection, and the role of deep learning in crime scene analysis. It bridges the gap between computer science, medicine, and forensic science by discussing real-world case studies, ethical considerations, and future trends. This book is designed for postgraduate students, researchers, forensic scientists, radiologists, and AI engineers; it provides a comprehensive resource for professionals and academics working at the intersection of artificial intelligence, medical imaging, and forensic science.