Awesome-LLM-Healthcare
by Community
The paper list of the review on LLMs in medicine - "Large Language Models Illuminate a Progressive Pathway to Artificial Healthcare Assistant: A Review".
OSS
Awesome-LLM-Healthcare
Added 1 June 2026
Overview
A curated paper list accompanying the review "Large Language Models Illuminate a Progressive Pathway to Artificial Healthcare Assistant: A Review." It aggregates research on LLMs in medicine, serving as a reference for building healthcare AI assistants.
Best for
Best for
Researchers and developers who need a curated bibliography for building LLM-based healthcare solutions
Use cases
- Surveying recent LLM research for medical applications
- Identifying foundational papers for healthcare AI projects
- Tracking academic progress in LLM-based clinical tools
Notes
A curated paper list accompanying the review “Large Language Models Illuminate a Progressive Pathway to Artificial Healthcare Assistant: A Review.” It aggregates research on LLMs in medicine, serving as a reference for building healthcare AI assistants.
269 stars on GitHub. Last updated 2023-12-23. Licensed MIT.
Use cases
- Surveying recent LLM research for medical applications
- Identifying foundational papers for healthcare AI projects
- Tracking academic progress in LLM-based clinical tools
Pros
- Focused collection of peer-reviewed literature on LLMs in healthcare
- Community-maintained with potential for updates via pull requests
- Directly linked to a structured review, aiding navigation
Cons
- Limited to paper references, no code implementations or tutorials
- Small repository (269 stars) may indicate narrow adoption or infrequent updates
- Does not include non-academic tools, commercial products, or practical datasets
Indexed from awesome-llm and enriched against its public facts.
Pros
- Focused collection of peer-reviewed literature on LLMs in healthcare
- Community-maintained with potential for updates via pull requests
- Directly linked to a structured review, aiding navigation
Cons
- Limited to paper references, no code implementations or tutorials
- Small repository (269 stars) may indicate narrow adoption or infrequent updates
- Does not include non-academic tools, commercial products, or practical datasets
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