RRepoGEO

REPOGEO REPORT · LITE

AI-in-Health/MedLLMsPracticalGuide

Default branch main · commit 6dccc0f1 · scanned 5/15/2026, 3:53:02 PM

GitHub: 2,012 stars · 176 forks

AI VISIBILITY SCORE
27 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 warn · 0 fail
Objective metadata checks
AI knows your name
1 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface AI-in-Health/MedLLMsPracticalGuide, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Add a clear, concise statement of purpose at the very top of the README

    Why:

    COPY-PASTE FIX
    # MedLLMsPracticalGuide: A Curated Resource Guide for Medical Large Language Models

This repository serves as an actively updated list of practical guide resources for Medical Large Language Models (Medical LLMs), based on our survey paper.
  • mediumtopics#2
    Add topics that explicitly describe the repo's format as a guide or resource list

    Why:

    CURRENT
    ai-in-medicine, clinical-ai, large-language-models, medical-large-language-models, survey
    COPY-PASTE FIX
    ai-in-medicine, clinical-ai, large-language-models, medical-large-language-models, survey, medical-llm-guide, resource-list, curated-resources
  • mediumreadme#3
    Ensure the first substantive paragraph of the README clearly states its purpose as a resource list

    Why:

    CURRENT
    This is an actively updated list of practical guide resources for Medical Large Language Models (Medical LLMs). It's based on our survey paper:
    COPY-PASTE FIX
    This is an actively updated list of practical guide resources for Medical Large Language Models (Medical LLMs). It's based on our survey paper: [Nature Reviews Bioengineering🔥] Application of Large Language Models in Medicine.

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall
0 / 2
0% of queries surface AI-in-Health/MedLLMsPracticalGuide
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Med-PaLM 2
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Med-PaLM 2 · recommended 2×
  2. NVIDIA · recommended 1×
  3. Google Health · recommended 1×
  4. IBM Watson Health · recommended 1×
  5. huggingface/transformers · recommended 1×
  • CATEGORY QUERY
    Where can I find a comprehensive guide for applying large language models in healthcare?
    you: not recommended
    AI recommended (in order):
    1. NVIDIA
    2. Google Health
    3. Med-PaLM 2
    4. IBM Watson Health
    5. Hugging Face Transformers Library (huggingface/transformers)
    6. BERT
    7. RoBERTa

    AI recommended 7 alternatives but never named AI-in-Health/MedLLMsPracticalGuide. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best resources for understanding clinical AI and medical large language model applications?
    you: not recommended
    AI recommended (in order):
    1. Nature Medicine
    2. The Lancet Digital Health
    3. Stanford HAI (Human-Centered AI)
    4. MIT CSAIL (Computer Science and Artificial Intelligence Laboratory)
    5. Google Health AI
    6. Microsoft Healthcare AI Research
    7. Med-PaLM
    8. Med-PaLM 2
    9. Project InnerEye
    10. OpenAI
    11. Deep Medicine: How Artificial Intelligence Can Make Healthcare Human Again
    12. HIMSS (Healthcare Information and Management Systems Society)
    13. Kaggle
    14. IEEE Transactions on Biomedical Engineering
    15. Journal of Medical Internet Research

    AI recommended 15 alternatives but never named AI-in-Health/MedLLMsPracticalGuide. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    pass

  • README presence
    pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

  • Compared to common alternatives in this category, what is the core differentiator of AI-in-Health/MedLLMsPracticalGuide?
    pass
    AI did not name AI-in-Health/MedLLMsPracticalGuide — likely talking about a different project

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts AI-in-Health/MedLLMsPracticalGuide in production, what risks or prerequisites should they evaluate first?
    pass
    AI named AI-in-Health/MedLLMsPracticalGuide explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • In one sentence, what problem does the repo AI-in-Health/MedLLMsPracticalGuide solve, and who is the primary audience?
    pass
    AI did not name AI-in-Health/MedLLMsPracticalGuide — likely talking about a different project

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

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