Future Trends: Towards Autonomous AI-Powered Smart Hospitals and Precision Healthcare

Abstract

The convergence of artificial intelligence (AI), the Internet of Things (IoT), robotics, and advanced data analytics was transforming healthcare delivery, giving rise to autonomous, AI-powered smart hospitals and precision medicine. This chapter explores the integration of AI-driven clinical decision support systems, multimodal data fusion, and adaptive treatment strategies to optimize patient outcomes and operational efficiency. Real-time incorporation of electronic health records (EHR), edge and cloud computing infrastructures, and intelligent robotic systems enables predictive, personalized, and responsive care while minimizing clinical errors and resource bottlenecks. Continuous learning AI models, combined with ethical deployment frameworks and explainable algorithms, ensure transparency, safety, and trust in high-stakes clinical environments. The chapter also examines the role of workflow automation, dynamic scheduling, and infrastructure optimization in creating resilient and sustainable hospital ecosystems. By highlighting emerging trends, technological challenges, and future research directions, this work provides a comprehensive perspective on the evolution of autonomous healthcare systems and their implications for precision medicine, operational efficiency, and patient-centric care.

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