JMIR Publications

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, addressing ethical and societal implications, especially data privacy, 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.