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AI Agents in Healthcare

Author

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  • Ken Huang

    (DistributedApps.ai)

Abstract

This chapter explores the transformative role of AI agents in healthcare, detailing their impact across clinical decision support, diagnostics, drug discovery, administrative workflows, patient engagement, and preventive healthcare. These agents enhance efficiency and accuracy through advanced machine learning, natural language processing, and multi-agent systems. Applications such as sepsis management, clinical trial recruitment, predictive analytics, and mental health support are examined, highlighting innovations like TrialGPT, AlphaFold 3, and CRISPR-GPT. The chapter also discusses wearable technology, robotic surgery, multi-agent collaboration, and global health implications, emphasizing the evolving ethical and regulatory frameworks that guide these advancements. Future directions in personalized medicine, predictive healthcare, and AI integration into global health initiatives underscore the ongoing revolution in healthcare delivery.

Suggested Citation

  • Ken Huang, 2025. "AI Agents in Healthcare," Progress in IS,, Springer.
    • Handle: RePEc:spr:prochp:978-3-031-90026-6_10
    DOI: 10.1007/978-3-031-90026-6_10
    as

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