Integration of AI-Based for Seamless Operations in Smart Healthcare Systems
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Date
2025-10-31
Journal Title
Journal ISSN
Volume Title
Publisher
Springer Nature
Abstract
By improving diagnosis, treatment, and patient management, the fusion of artificial intelligence (AI) into intelligent healthcare systems has completely transformed the way healthcare is delivered. Natural language processing (NLP), deep learning (DL), and machine learning (ML) are examples of AI-driven solutions that improve healthcare decision-making, promote smooth interoperability, and allow for individualized treatment regimens. Applications of AI in electronic health records (EHRs), robotics-assisted surgery, and diagnostic imaging have greatly enhanced patient outcomes and healthcare efficiency. Notwithstanding these developments, issues including algorithmic bias, privacy concerns, and data security still exist. This chapter examines how AI is revolutionizing smart healthcare, highlighting significant technical developments, ongoing uses, and potential future developments.
Sustainable Development Goals
SDG-3: Good Health and Well-being
SDG-9: Industry, Innovation and Infrastructure
Keywords
Smart healthcare systems, Artificial intelligence, Electronic health records, AI-driven diagnosis, Predictive analytics