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Artificial Intelligence and Cloud Computing in Healthcare: Innovations and Impacts

Authors

Mohammad Amir Salari, Saint Louis University, USA

Abstract

Artificial Intelligence (AI) and Machine Learning (ML) have emerged as a transformative force in healthcare, driving innovation in diagnostics, treatment planning, and patient management. This paper investigates the applications of AI and ML in healthcare through a comprehensive review of its use in predictive analytics, personalized medicine, and other key areas transforming healthcare delivery. In addition to AI, cloud computing is revolutionizing healthcare by providing scalable infrastructure for data storage, processing, and analysis. The integration of AI with cloud-based platforms enhances healthcare operations by enabling seamless collaboration, improving resource allocation, and ensuring secure handling of sensitive patient data. By examining recent advancements in AI and cloud computing, this study highlights how these technologies are collectively shaping the future of healthcare, addressing challenges such as scalability and accessibility while improving efficiency and patient outcomes. This analysis underscores the substantial capability of AI and ML technologies to reshape healthcare delivery and advance research efforts.


Keywords

Healthcare, Artificial Intelligence, Machine Learning, Cloud Computing, Predictive Analytics.