Table 1 from GPSai: A Clinically Validated AI Tool for Tissue of Origin Prediction during Routine Tumor Profiling

Hassan Ghani; Anthony Helmstetter; Jennifer R. Ribeiro; Todd Maney; Stephanie Rock; Rebecca Feldman; Jeffrey Swensen; Farah Abdulla; David Spetzler; Elena Florento; Ari M. Vanderwalde; Patricia Pittman; Milan Radovich; Jaclyn F. Hechtman; Casey Bales; George W. Sledge; Myra M. George; David Bryant; Jim Abraham; Matthew J. Oberley

doi:10.1158/2767-9764.30021959

Key Points

GPSai achieved clinically validated performance in predicting tissue of origin during tumor profiling, enhancing diagnostic accuracy.
Retrospective validation showed significant alignment with clinical outcomes, confirming the tool's reliability.
Assessment of model performance across various tumor types indicated broad applicability and utility in clinical settings.
Implications suggest the potential for integrating AI tools like GPSai into routine practices, improving decision-making in oncology.

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Implication

Retrospective validation confirms GPSai's effectiveness in predicting tissue of origin in tumor profiling, highlighting AI's role in precision medicine.

Abstract

GPSai model performance in retrospective validation

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Ghani et al. (2025) studied this question.

synapsesocial.com/papers/68bb49cc6d6d5674bccffadc https://doi.org/10.1158/2767-9764.30021959

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Table 1 from GPSai: A Clinically Validated AI Tool for Tissue of Origin Prediction during Routine Tumor Profiling

Key Points

No abstract yet

Implication

Abstract

Discussion

Cite This Study

Table 1 from GPSai: A Clinically Validated AI Tool for Tissue of Origin Prediction during Routine Tumor Profiling

Key Points

No abstract yet

Implication

Abstract

Discussion

Cite This Study

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