RRepoGEO

REPOGEO REPORT · LITE

ZJU4HealthCare/Foundations-of-Medical-LLMs

Default branch main · commit e664831d · scanned 5/21/2026, 7:52:50 AM

GitHub: 1,031 stars · 168 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
22 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 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 ZJU4HealthCare/Foundations-of-Medical-LLMs, 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
  • hightopics#1
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    medical-llm, llm-foundations, healthcare-ai, artificial-intelligence, deep-learning, nlp, medical-informatics, textbook, educational-resource, medical-education
  • highreadme#2
    Add a clear English introductory sentence to the README

    Why:

    COPY-PASTE FIX
    This repository presents "Foundations of Medical Large Language Models," a comprehensive open-source textbook designed for researchers, developers, and students interested in the fundamental principles and cutting-edge applications of LLMs in healthcare. (Place this sentence prominently at the very beginning of the README, ideally after the main H1 title.)
  • mediumlicense#3
    Clarify the existing license in the README

    Why:

    COPY-PASTE FIX
    This project is licensed under [Specify License Name(s) from LICENSE file, e.g., 'a custom license combining X and Y']. Please refer to the LICENSE file for full details. (Add this to a 'License' section in the README.)

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 ZJU4HealthCare/Foundations-of-Medical-LLMs
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Natural Language Processing in Clinical Medicine
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Natural Language Processing in Clinical Medicine · recommended 1×
  2. Deep Learning for Medical Image Analysis · recommended 1×
  3. Hugging Face Transformers Library · recommended 1×
  4. BERT · recommended 1×
  5. RoBERTa · recommended 1×
  • CATEGORY QUERY
    Seeking resources to learn the foundational principles of large language models for medical use.
    you: not recommended
    AI recommended (in order):
    1. Natural Language Processing in Clinical Medicine
    2. Deep Learning for Medical Image Analysis
    3. Hugging Face Transformers Library
    4. BERT
    5. RoBERTa
    6. GPT-style models
    7. AI in Health: A Guide for Responsible Innovation
    8. PubMed Central
    9. arXiv
    10. BioBERT
    11. ClinicalBERT
    12. Med-PaLM
    13. Coursera
    14. edX
    15. Stanford
    16. Johns Hopkins

    AI recommended 16 alternatives but never named ZJU4HealthCare/Foundations-of-Medical-LLMs. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the cutting-edge applications and ethical challenges of AI in healthcare?
    you: not recommended
    AI recommended (in order):
    1. Insilico Medicine
    2. Recursion Pharmaceuticals
    3. Tempus
    4. Foundation Medicine
    5. Google Health's DeepMind
    6. PathAI
    7. Zebra Medical Vision
    8. Intuitive Surgical's da Vinci Surgical System
    9. Vicarious Surgical
    10. BlueDot
    11. Metabiota

    AI recommended 11 alternatives but never named ZJU4HealthCare/Foundations-of-Medical-LLMs. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    warn

    Suggestion:

  • 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 ZJU4HealthCare/Foundations-of-Medical-LLMs?
    pass
    AI did not name ZJU4HealthCare/Foundations-of-Medical-LLMs — 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 ZJU4HealthCare/Foundations-of-Medical-LLMs in production, what risks or prerequisites should they evaluate first?
    pass
    AI named ZJU4HealthCare/Foundations-of-Medical-LLMs 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 ZJU4HealthCare/Foundations-of-Medical-LLMs solve, and who is the primary audience?
    pass
    AI did not name ZJU4HealthCare/Foundations-of-Medical-LLMs — 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?

Embed your GEO score

Drop this badge into the README of ZJU4HealthCare/Foundations-of-Medical-LLMs. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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ZJU4HealthCare/Foundations-of-Medical-LLMs — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite