Recent Advances in Artificial Intelligence for Health Care

Artificial intelligence (AI) has rapidly become a transformative force in health care, enhancing diagnostic accuracy, treatment planning, patient monitoring, and operational efficiency. This article explores advanced and emerging AI techniques-such as deep learning, reinforcement learning, natural language processing, and federated learning-and evaluates their applications, benefits, and ethical challenges. Through a systematic review of recent literature, we identify current trends, limitations, and future research directions. Findings indicate that AI not only improves clinical outcomes and reduces costs but also poses significant concerns related to data privacy, bias, and integration in clinical workflows. Recommendations are offered to maximize clinical benefits while addressing associated risks.