Currently submitted to: Journal of Medical Internet Research
Date Submitted: Apr 1, 2024
Open Peer Review Period: Apr 17, 2024 - Jun 12, 2024
(currently open for review)
Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.
Revolutionizing Healthcare: The Transformative Impact of LLMs in Medicine
ABSTRACT
Large language models (LLMs) are rapidly advancing medical AI, offering revolutionary changes in healthcare. These models excel in natural language processing, enhancing clinical support, diagnosis, treatment, and medical research. Breakthroughs like GPT-4 and BERT demonstrate LLMs' evolution through improved computing power and data. However, their high hardware requirements are being addressed through technological advancements. LLMs are unique in processing multimodal data, thereby improving emergency, elder care, and digital medical procedures. Challenges include ensuring their empirical reliability and mitigating biases while maintaining privacy and accountability. The paper emphasizes the need for human-centric, bias-free LLMs for personalized medicine and advocates for equitable development and access. LLMs hold promise for transformative impacts in healthcare.
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