The trajectory of artificial intelligence (AI) in healthcare reflects a transformation from rigid, symbolic logic systems to statistical deep learning architectures, culminating in self-reasoning, multimodal foundation models. This technological maturation has not occurred in isolation; rather, it has been driven by the co-evolution of algorithmic breakthroughs, hardware acceleration, regulatory frameworks, and clinical reimbursement structures.