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

ABSTRACT: A subset of cancers present with unclear or potentially incorrect primary histopathologic diagnoses, including cancers of unknown primary (CUP). We aimed to develop and validate an artificial intelligence (AI) tool, Genomic Probability Score AI (GPSai™), which predicts tumor tissue of origin in CUP and flags potential misdiagnoses for additional workup during routine molecular testing. The GPSai model was trained on whole exome and whole transcriptome data from 201,612 cases submitted for tumor profiling at Caris Life Sciences. Retrospective (N = 21,549) and prospective (N = 76,271) validations were performed. The clinical impact was evaluated over 8 months of live testing and through physician surveys. GPSai demonstrated 95.0% accuracy in non-CUP cases and reported on tumor tissue of orig

SUBMITTER: Ghani H 

PROVIDER: S-EPMC12399951 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature