Merlin and the Rise of CT-Native Foundation Models for Radiology AI
Merlin shows how CT-native vision-language foundation models could shape radiology AI, with released code, model weights, and dataset access for researchers.
July 2, 2026
Guides, project breakdowns, and lessons learned from building medical imaging platforms — written by the PYCAD team.
Merlin shows how CT-native vision-language foundation models could shape radiology AI, with released code, model weights, and dataset access for researchers.
PadChest-GR brings grounded, bilingual evaluation to chest X-ray report generation. Learn why this benchmark matters for trustworthy radiology AI and medical imaging workflows.
ABRA introduces a more realistic way to evaluate radiology AI by testing how models function inside real DICOM workflows with OHIF, Orthanc, and structured reporting tools.
A controlled experiment comparing three approches on the same synthetic clinical note to see how OpenMed models perform compared to an LLM.
A specialized workflow built entirely for the dentistry domain, focusing specifically on dental implant planning.
Advanced neuroimaging workflows require more than just basic image viewing.
We build custom medical imaging platforms — advanced DICOM viewers, AI segmentation, and the clinical systems around them.
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