Project AURIONAI Use-Cases Research & Innovation

Pan-cancer specimen-level detection (Virchow study)

Specimen-level pan-cancer detection AUC on pathology slides

domain
4scores
4models
0independent
0maintainer-run
4vendor-reported

Definition

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Category
domain
Maintainer
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Sources

Scores at a Glance

Score in AUROC

Higher is better for this unit.

00.250.50.751
Where this comes from
Each bar is one model, with its most independent recorded score. Hatched bars are vendor-reported; the word beside each bar says who ran it. Settings and dates differ between rows; the Scores table below has every result.

Scores

4 of 4 scores shown virchow-pan-cancer-detection-scores.csv
ModelScoreWho ran itSettingView or populationDateSource
PaigeVirchow0.95 AUROCvendor-reportedAs reported in the Virchow paper–22 Jul 2024nature.com
Mahmood Lab, HarvardUNI0.94 AUROCvendor-reportedAs reported in the Virchow paper–22 Jul 2024nature.com
OwkinPhikon0.932 AUROCvendor-reportedAs reported in the Virchow paper–22 Jul 2024nature.com
CTransPath0.907 AUROCvendor-reportedAs reported in the Virchow paper–22 Jul 2024nature.com
Where this comes from
Scores from different settings, harnesses or dates are not directly comparable; the row says which. Sorted by score, highest first, as a reading aid, not a ranking.

To cite this page: Project AURION, AI Use-Cases Research & Innovation, "Pan-Cancer Specimen-Level Detection (Virchow Study)", https://aurion.semai.id/benchmarks/virchow-pan-cancer-detection/, records of October 2026.