ORACLE-CT improves CT classification performance by using anatomy-specific support pooling based on multi-organ segmentation, showing gains in AUROC on internal and external datasets.
arXiv preprint arXiv:2509.01554 , year=
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Benchmarks efficient MLLMs on eight PE QA tasks from the INSPECT dataset, finding stronger results with combined CTPA+EHR inputs and for diagnosis over prognosis.
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ORACLE-CT: Anatomy-Aware Support Pooling for CT Classification
ORACLE-CT improves CT classification performance by using anatomy-specific support pooling based on multi-organ segmentation, showing gains in AUROC on internal and external datasets.