Navigating the Future of Healthcare: Predictive Analytics and Decision Support Through Large Language Models and Large Vision Model

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Author(s): Raaga Likhitha Musunuri (Northeastern University, USA)and Ashruti Bhatt (Parul University, India)
Copyright: 2025
Pages: 34
Source title: Improving Healthcare Quality and Patient Engagement: Management and Technology Insights
Source Author(s)/Editor(s): Vijit Chaturvedi (Amity University, India), Prashant Singh (Independent Researcher, India), Anandhi Ramachandran (International Institute of Health Management Research, India)and Divya Aggarwal (International Institute of Health Management Research, India)
DOI: 10.4018/979-8-3693-8552-4.ch003

Keywords: Business & Management / Healthcare Administration / Management Science / Medical Information Science Reference

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Abstract

This chapter explores the transformative potential of large language models (LLMs) and large vision models (LVMs) in healthcare. These technologies can comprehend and generate human-like text and interpret complex visual information, revolutionizing healthcare delivery. Applications include medical documentation, clinical decision support, medical imaging, and patient education. The chapter also addresses challenges like data bias, transparency, and privacy, emphasizing robust frameworks and interdisciplinary collaboration. These models can enhance diagnostics, personalize treatments, optimize processes, and improve efficiency, addressing global health disparities and promoting equity.

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Navigating the Future of Healthcare: Predictive Analytics and Decision Support Through Large Language Models and Large Vision Model

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