Abstract: Journal of Medical Physics and Biophysics Simulations

Abstract:
The burgeoning field of Artificial Intelligence (AI) is fundamentally reshaping the practice of medicine and the delivery of healthcare services worldwide. Driven by the confluence of advanced machine learning (ML) particularly deep learning (DL) Nand the exponential growth of large, multimodal healthcare datasets (e.g., medical images, electronic health records, genomic sequences), AI systems have demonstrated remarkable potential in augmenting human capabilities. This paper provides a systematic review of current AI applica tions across clinical and operational domains, examines the persistent technical and ethical challenges to widespread adoption, and proposes a roadmap for responsible, equitable, and safe integration of AI into the global healthcare ecosystem. The ultimate goal of AI in this sector is not replacement, but augmentation and amplification of human intelligence, leading to enhanced diagnostic accuracy, personalized treatment, and optimized system efficiency.