Abstract
This study investigated the role of Artificial Intelligence-powered cloud computing systems in fostering healthcare resilience, using a systematic review of its range of applications and their groundbreaking implications. In-depth applications in diagnostics, care delivery, mental health care, and healthcare supply chains demonstrate how these digital technologies greatly strengthen healthcare services. The results highlight AI's decisive influence on healthcare supply chains, emphasizing its critical role in maximizing performance , efficiency, and resource use. The study sheds light on the significance of digitalization in enhancing the operational effectiveness and resilience of healthcare supply chains. The study provides recommendations based on the insights , with an emphasis on enhancing research collaborations, addressing con-textual factors impacting the adoption of digital technologies, and guaranteeing interoperability and standardization in health Internet of Things devices. The implementation of cloud computing systems powered by AI in the healthcare industry is intended to be optimized by these suggestions. The study provides a foun-dational point of reference, providing an in-depth examination and recommended strategies for leveraging AI-powered cloud computing to improve healthcare resilience , pointing stakeholders in the direction of a robust and sustainable healthcare future.