suinleelab/MONET

Transparent medical image AI via an image–text foundation model grounded in medical literature

40
/ 100
Emerging

This project helps dermatologists and medical researchers better understand and evaluate AI systems used for analyzing skin images. You provide an image of a dermatological condition, and the system outputs clear, understandable annotations of medical concepts present in the image, based on extensive medical literature. It's designed for medical professionals who want transparency in AI diagnostics.

No commits in the last 6 months.

Use this if you need to automatically identify and annotate medical concepts in dermatology images with transparency, or to audit existing AI models and datasets for bias and accuracy.

Not ideal if you are looking for a simple, off-the-shelf diagnostic tool that provides a definitive diagnosis without detailed conceptual explanations.

dermatology medical imaging AI transparency clinical decision support medical research
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 9 / 25
Maturity 16 / 25
Community 15 / 25

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84

Forks

12

Language

Python

License

Last pushed

Apr 08, 2025

Commits (30d)

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