A new way of thinking about health care has emerged thanks to the use of artificial intelligence (AI). In this review paper, we identify five primary applications of artificial intelligence (AI) in health care by reviewing the relevant literature. The applications are as follows: (1) patient digital care, (2) pharmaceutical and clinical research, (3) patient involvement and compliance, (4) rehabilitation, and (5) additional administrative tasks. Artificial intelligence (AI) may have several advantages for the medical sector. Among its many capabilities are EHR management, new vaccination and therapy discovery, medical prescription error detection, data storage and analysis, and technology-assisted rehabilitation. It might also motivate patients to engage fully in their treatment and adhere to the recommended schedules. It may help to manage the 2019 coronavirus disease (COVID-19) epidemic by early detection, reduce the administrative load placed on those working in the healthcare sector, and identify clinical challenges in imaging and diagnostic services. All the same, the scientific presentation covers a lot of social, ethical, and technological concerns related to AI in health care. Aspects to take into account are privacy, safety, autonomy in decision-making, cost, information and consent, accessibility, and effectiveness. The need to establish adequate rules for AI applications is justified by several reasons. Among these are improving adoption, holding healthcare professionals responsible, ensuring patient safety, and achieving notable health benefits. The adoption and use of AI must be promoted by prompt and effective leadership that also attends to issues of ethics, regulatory compliance, and trust. Since the COVID-19 pandemic shocked the global health system, the idea of artificial intelligence has revolutionized health care, and this kind of uprising could be a further step toward meeting future healthcare needs.