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OpenRad: a Curated Repository of Open-access AI models for Radiology
arXiv – CS AI|Konstantinos Vrettos, Galini Papadaki, Emmanouil Brilakis, Matthaios Triantafyllou, Dimitrios Leventis, Despina Staraki, Maria Mavroforou, Eleftherios Tzanis, Konstantina Giouroukou, Michail E. Klontzas||1 views
🤖AI Summary
Researchers created OpenRad, a curated repository containing approximately 1,700 open-access AI models for radiology. The platform aggregates scattered radiology AI research into a standardized, searchable database that includes model weights, interactive applications, and spans all imaging modalities and radiology subspecialties.
Key Takeaways
- →OpenRad aggregates 1,700 radiology AI models from scattered platforms into one searchable repository.
- →The repository covers all imaging modalities (CT, MRI, X-ray, US) with MRI being most common in 621 neuroradiology models.
- →CNN and transformer architectures dominate the collected models, with research concentrated in China and the United States.
- →Automated extraction using a local LLM showed high stability with 78.5% of edits being minor corrections.
- →The platform includes a web interface with keyword search, filters, and a community portal for new model contributions.
Read Original →via arXiv – CS AI
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