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Accuracy of Large Language Model–based Automatic Calculation of Ovarian-Adnexal Reporting and Data System MRI Scores from Pelvic MRI Reports

Rajesh Bhayana, Ankush Jajodia, Tanya Chawla, Yangqing Deng, Geneviève Bouchard‐Fortier, Masoom A. Haider, Satheesh Krishna

2025Radiology17 citationsDOI

Abstract

= .01). Conclusion A hybrid LLM-based application, combining LLM feature classification with deterministic elements, accurately assigned O-RADS MRI scores from report descriptions, exceeding both an LLM-only strategy and the original reporting radiologist. © RSNA, 2025

Topics & Concepts

MedicineAdnexal DiseasesFeature (linguistics)RadiologyAdnexal massNatural language processingArtificial intelligenceMedical physicsComputer scienceLinguisticsLaparoscopyPhilosophyOvarian cancer diagnosis and treatmentRadiomics and Machine Learning in Medical ImagingEndometrial and Cervical Cancer Treatments
Accuracy of Large Language Model–based Automatic Calculation of Ovarian-Adnexal Reporting and Data System MRI Scores from Pelvic MRI Reports | Litcius