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Performance vs Consistency: Evaluating a Foundation Model in Lung-RADS Screening
Author1, Author2, Author3, Author4, Author5
fine-tuningmedical imagingclinical decision support
2609.22281
Builder Relevance
4h ago70%
Abstract
This study evaluates the performance of the MedGemma foundation model in lung cancer screening, highlighting the trade-off between accuracy and consistency compared to radiologists.
Reality Card
Core Claim
Fine-tuning the MedGemma model improved its AUC from 0.70 to 0.83, making it comparable to the lower range of individual radiologists' performance.
Method / Result
Radiologists achieved a mean AUC of 0.90, while the fine-tuned model reached an AUC of 0.83.
Limitations
The evaluation was conducted on a case-enriched cohort from NLST, limiting generalization to real-world scenarios.
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