Figure 3 from GPSai: A Clinically Validated AI Tool for Tissue of Origin Prediction during Routine Tumor Profiling
<p>Validation of GPSai in the TCGA dataset. The confusion matrix shows GPSai concordance for each cancer category among 6,820 TCGA samples. Numbers of each predicted tumor type are shown in the boxes, with numbers of correctly predicted tumors (matching TCGA label) in each category shown in the diagonal. CNS, central nervous system.</p>
Authors
- Jennifer R. Ribeiro (ORCID: https://orcid.org/0000-0002-1685-8568)
- Patricia Pittman
- Anthony Helmstetter
- Hassan Ghani
- Jaclyn F. Hechtman (ORCID: https://orcid.org/0000-0003-2645-0985)
- Rebecca Feldman (ORCID: https://orcid.org/0000-0003-4502-1473)
- Ari M. Vanderwalde (ORCID: https://orcid.org/0000-0002-6842-2563)
- Elena Florento
- Milan M. Radovich (ORCID: https://orcid.org/0000-0001-9667-156X)
- Jeffrey Swensen (ORCID: https://orcid.org/0000-0002-8204-4220)
- Matthew James Oberley (ORCID: https://orcid.org/0000-0001-6419-2513)
- Jim Abraham (ORCID: https://orcid.org/0000-0001-5038-1735)
- Casey Bales (ORCID: https://orcid.org/0000-0002-1016-6042)
- George W. Sledge (ORCID: https://orcid.org/0000-0003-0297-0775)
- Todd Maney
- Farah Abdulla (ORCID: https://orcid.org/0000-0002-3455-7566)
- David B. Spetzler (ORCID: https://orcid.org/0000-0002-9531-0970)
- Myra M. George
- David Bryant
- Stephanie Rock (ORCID: https://orcid.org/0000-0001-5700-6954)
Publication Details
- Published
- 2025-09-01
- DOI
- https://doi.org/10.1158/2767-9764.30022013
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00