Unverified50% confidenceBenchmarkExact time
After supervised fine-tuning, PRISM improved to 0.8611 AUROC on the external MC-MED cohort, surpassing the locally trained traditional model.
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10/12/2026
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UnverifiedOn the external MC-MED cohort, the directly transferred source-only PRISM achieved only 0.7841 AUROC, falling below the locally trained gradient boosting model's 0.8227.73% similarUnverifiedIn a fair comparison using only the baseline window input, PRISM's AUROC was 0.8895, broadly on par with UniPACT's 0.8937 and MDS-ED's 0.8889.68% similarUnverifiedIn a semantic segmentation task, the baseline model UNet achieved an original mIoU score of 0.817.67% similarUnverifiedDRET-enhanced DistilBERT, with only 66 million parameters, achieves performance on core metrics such as balanced accuracy, recall, and ROC-AUC that is comparable to biomedical-specific models an order of magnitude larger64% similarUnverifiedIn that heart disease prediction experiment, the logistic regression model achieved an AUC of 0.89.64% similar
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