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Large Language Models in Healthcare and Medical Applications: A Review

245
Citations
June 10, 2025
Published Date

Research Abstract & Technology Focus

This paper provides a systematic and in-depth examination of large language models (LLMs) in the healthcare domain, addressing their significant potential to transform medical practice through advanced natural language processing capabilities. Current implementations demonstrate LLMs’ promising applications across clinical decision support, medical education, diagnostics, and patient care, while highlighting critical challenges in privacy, ethical deployment, and factual accuracy that require resolution for responsible integration into healthcare systems. This paper provides a comprehensive understanding of the background of healthcare LLMs, the evolution and architectural foundation, and the multimodal capabilities. Key methodological aspects—such as domain-specific data acquisition, large-scale pre-training, supervised fine-tuning, prompt engineering, and in-context learning—are explored in the context of healthcare use cases. The paper highlights the trends and categorizes prominent application areas in medicine. Additionally, it critically examines the prevailing technical and social challenges of healthcare LLMs, including issues of model bias, interpretability, ethics, governance, fairness, equity, data privacy, and regulatory compliance. The survey concludes with an outlook on emerging research directions and strategic recommendations for the development and deployment of healthcare LLMs.
large language models healthcare medical applications
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Large Language Models in Healthcare and Medical Domain: A Review

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Large Language Models in Healthcare and Medical Applications: A Review

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What is the core focus of the research titled 'Large Language Models in Healthcare and Medical Applications: A Review'?

This literature focuses on: This paper provides a systematic and in-depth examination of large language models (LLMs) in the healthcare domain, addressing their significant potential to transform medical practice through advanced natural language processing capabilities. Cur...

Are there open-source GitHub repositories related to Large Language Models in Healthcare and Medical Applications: A Review?

Yes, open-source projects like FreedomIntelligence/OpenClaw-Medical-Skills (The largest open-source medical AI skills library for OpenClaw🦞.) are actively building upon these concepts.

Which startups are commercializing the technology behind Large Language Models in Healthcare and Medical Applications: A Review?

Products like Ollang DX are bringing this to market. Their focus is: The AI Language Execution Layer for Enterprise.

What other academic literature is closely related to 'Large Language Models in Healthcare and Medical Applications: A Review'?

Yes, highly correlated activity was mapped. An entry titled 'Large Language Models in Healthcare and Medical Domain: A Review' discusses this: The deployment of large language models (LLMs) within the healthcare sector has sparked both enthusiasm and apprehension. These models exhibit the ...

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