Comprehensive Review of Large Language Models in Medicine: Exploring Digital Health, Technology, and Applications

The systematic literature review focuses on the integration of Large Language Models (LLMs) in the medical field, highlighting their applications in digital health and technology. It examines various studies that explore how LLMs enhance medical communication, diagnostics, and patient engagement. By synthesizing current research, the review underscores the advantages of LLMs, such as improved accuracy in clinical decision-making and increased efficiency in information retrieval. Additionally, it addresses potential challenges, including ethical considerations and data privacy concerns. The findings indicate that LLMs can significantly transform healthcare delivery by automating workflows and personalizing patient interactions. The review concludes with suggestions for future research directions, advocating for the development of robust frameworks to ensure safe and effective LLM deployment in clinical settings. Keywords include Large Language Models, digital health, medical technology, patient engagement, ethics, and healthcare innovation, all critical for optimizing search engine visibility and relevance in academic and medical contexts.

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