Ö. Özdemi̇r

This narrative review examines the evolution of artificial intelligence in healthcare, with a focus on the transition from early rule-based systems to modern deep learning architectures and their integration into clinical practice, and the emergence of multimodal foundation models that integrate imaging with textual and genomic data to enhance diagnostic robustness.