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Transforming Healthcare with Large Language Models and AI Agents

R. N. RavikumarMarwadi University, Rajkot, IndiaS. AarthiMarwadi University, Rajkot, IndiaIzzatbek Rejapov OlimbaevichSultonova MashkhuraUrgench State University Named After Abu Raykhan Beruni, Urgench, UzbekistanSaodat MusayevaTermez University of Economics and Service, Termez, Uzbekistan
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The chapter “Transforming Healthcare with Large Language Models and AI Agents” explores how technologies like GPT-3 and advanced AI agents are reshaping healthcare. These tools can process massive volumes of medical data to provide real-time insights, aiding clinical decision-making and improving patient outcomes. AI agents enhance patient engagement, assist in diagnosis, and support treatment planning. Key applications include boosting diagnostic accuracy, automating administrative processes, enabling virtual care, and advancing precision medicine. The chapter also addresses critical challenges such as data privacy, algorithmic bias, and the importance of transparent AI governance. It offers practical recommendations to mitigate these issues and ensure responsible AI deployment. Designed for healthcare professionals, researchers, and policymakers, this chapter provides a comprehensive guide to harnessing the power of LLMs and AI agents to transform healthcare delivery and medical research effectively and ethically.

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Koʻrsatkichlar — AkademScholar · Tez orada