REPOGEO REPORT · LITE

ZJU4HealthCare/Foundations-of-Medical-LLMs

Default branch main · commit 93351b4d · scanned 6/20/2026, 7:58:00 AM

GitHub: 1,355 stars · 221 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

28 /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

2 / 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 improve categorization

Why:

COPY-PASTE FIX

medical-llm, healthcare-ai, large-language-models, llm-foundations, educational-resource, textbook, ai-in-medicine, medical-nlp

highreadme#2

Add a concise English summary to the README

Why:

COPY-PASTE FIX

This repository serves as a comprehensive open-source textbook and foundational resource for Medical Large Language Models (MedLLMs), covering architectures, applications, and ethical considerations in healthcare AI. It aims to provide an accessible, rigorous, and in-depth educational guide for anyone interested in the field.

mediumhomepage#3
Set the repository homepage URL
Why:
COPY-PASTE FIX
```
https://github.com/ZJU4HealthCare/Foundations-of-Medical-LLMs
```

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

Of all named tools, what % are you?

Top rival

Med-PaLM

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

Med-PaLM · recommended 1×
BioGPT · recommended 1×
Clinical-BERT · recommended 1×
PubMedBERT · recommended 1×
Hugging Face Transformers Library · recommended 1×

CATEGORY QUERY
Looking for foundational resources to learn about medical large language model architectures and applications.
you: not recommended
AI recommended (in order):
1. Med-PaLM
2. BioGPT
3. Clinical-BERT
4. PubMedBERT
5. Hugging Face Transformers Library
6. ChatGPT
AI recommended 6 alternatives but never named ZJU4HealthCare/Foundations-of-Medical-LLMs. This is the gap to close.
Show full AI answer
CATEGORY QUERY
Seeking educational materials explaining the practical applications of large language models in healthcare.
you: not recommended
AI recommended (in order):
1. Stanford HAI's 'AI in Healthcare' Course
2. Google Cloud's 'Generative AI Learning Path'
3. Microsoft Azure AI Fundamentals: Generative AI
4. 'AI in Medicine' by Eric Topol
5. Hugging Face's 'NLP Course'
6. MIT Technology Review Insights Reports
7. NEJM AI
AI recommended 7 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 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?
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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MARKDOWN (README)

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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