AI-Enabled Internet of Medical Things: Architectural Framework and Case Studies

The integration of Artificial Intelligence (AI) with the Internet of Medical Things (IoMT) has revolutionized healthcare by enhancing diagnostic accuracy, treatment efficiency, and patient monitoring capabilities. This article explores the global architecture of AI-enabled IoMT platforms, emphasizing their foundational frameworks and operational dynamics. Representative case studies across various medical domains illustrate the practical applications and benefits of these platforms in real-world scenarios. Results from extensive testing and validation of these use cases underscore their efficacy and reliability in clinical settings, paving the way for more sophisticated and effective solutions. Furthermore, the article discusses prevalent challenges that impact the widespread adoption of AI-driven IoMT systems. Insights gleaned from this comprehensive analysis provide valuable guidance for researchers, healthcare practitioners, and policymakers navigating the evolving landscape of AI in medical technology.