aceTurkRadLLM: A Compact MedGemma-Based Model for Structuring Turkish Lumbar and Cervical Spine MRI Reports-A Multi-reader Validation Study
To develop and validate a compact, locally deployable MedGemma-based model converting unstructured Turkish spine MRI reports into structured six-field output. In this retrospective single-institution study, 5210 lumbar and 5017 cervical Turkish spine MRI reports were used to fine-tune MedGemma 4B IT with QLoRA. Silver-standard labels from a proprietary large language model served as training targets and as the reference for automated fidelity analyses, but not as the clinical reference standard. Evaluation compr…
A fine-tuned compact MedGemma model produced valid structured output from Turkish spine MRI reports that readers accepted, and it ran on a single consumer GPU card.
Negative-finding completeness was reader-dependent, with one reader judging negative-finding lists incomplete in 57.8% of reports, and fidelity to the silver-label impression reached only 67.1%.
Labels came from a proprietary language model rather than a clinical reference standard, the study was single-institution, and negative-finding completeness varied by reader.
Evidence
- Peer-reviewedJournal of Imaging Informatics in Medicine2026-10-20
How should this claim be treated?
Truvace Impact Record TRV-2026-2087, v1: “TurkRadLLM: A Compact MedGemma-Based Model for Structuring Turkish Lumbar and Cervical Spine MRI Reports-A Multi-reader Validation Study.” Truvace, 2026-10-21. /record/TRV-2026-2087 (accessed at citation time). sha256 017f522217eccd36…
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