RRepoGEO

REPOGEO REPORT · LITE

bowang-lab/MedSAM

Default branch main · commit d71e8a1a · scanned 5/12/2026, 2:02:01 AM

GitHub: 4,255 stars · 582 forks

AI VISIBILITY SCORE
35 /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
3 / 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 bowang-lab/MedSAM, 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

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

OVERALL DIRECTION
  • mediumreadme#1
    Enhance the README's introductory sentence

    Why:

    CURRENT
    This is the official repository for MedSAM: Segment Anything in Medical Images.
    COPY-PASTE FIX
    MedSAM is the official repository for Segment Anything in Medical Images, a powerful foundation model for automated and generalizable segmentation of diverse anatomical structures and pathologies. This repository also includes MedSAM2 for advanced 3D and video segmentation tasks.
  • lowreadme#2
    Add a dedicated 'About MedSAM' section to the README

    Why:

    COPY-PASTE FIX
    ## About MedSAM
MedSAM adapts the Segment Anything Model (SAM) specifically for medical imaging, fine-tuned on an exceptionally large and diverse dataset of over 11 million medical image-mask pairs from 110+ datasets. This enables superior performance in segmenting various anatomical structures and pathologies, making it an essential tool for medical AI researchers and developers. MedSAM offers robust capabilities for 2D, 3D, and video segmentation, providing a versatile solution for biomedical image analysis.

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 bowang-lab/MedSAM
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
MONAI
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. MONAI · recommended 1×
  2. nnU-Net · recommended 1×
  3. DeepMind's AlphaFold · recommended 1×
  4. Swin UNETR · recommended 1×
  5. 3D Slicer · recommended 1×
  • CATEGORY QUERY
    How can I accurately segment anatomical structures within medical imaging datasets using AI?
    you: not recommended
    AI recommended (in order):
    1. MONAI
    2. nnU-Net
    3. DeepMind's AlphaFold
    4. Swin UNETR
    5. 3D Slicer
    6. MONAI Label
    7. ITK-SNAP
    8. TensorFlow
    9. Keras
    10. UNet
    11. VNet
    12. PyTorch

    AI recommended 12 alternatives but never named bowang-lab/MedSAM. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a robust tool to perform efficient 3D or video segmentation on biomedical scans.
    you: not recommended
    AI recommended (in order):
    1. 3D Slicer (Slicer/Slicer)
    2. ITK-SNAP (pmateus/ITK-SNAP)
    3. MIPAR
    4. Imaris
    5. Arivis Vision4D
    6. Fiji (ImageJ with plugins) (fiji/fiji)
    7. DeepLabCut (DeepLabCut/DeepLabCut)

    AI recommended 7 alternatives but never named bowang-lab/MedSAM. 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 bowang-lab/MedSAM?
    pass
    AI named bowang-lab/MedSAM explicitly

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

  • If a team adopts bowang-lab/MedSAM in production, what risks or prerequisites should they evaluate first?
    pass
    AI named bowang-lab/MedSAM 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 bowang-lab/MedSAM solve, and who is the primary audience?
    pass
    AI named bowang-lab/MedSAM explicitly

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

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite