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. 2024 Feb 19;4:21. doi: 10.1038/s43856-024-00446-6

Table 7.

Race prediction performance across different models

Model Accuracy (95% CI) AUROC (95% CI)
Race prediction model 86.7% (86.0–87.4) 95.1% (94.7–95.5)
Fine-tuned Model A 74.2% (73.3–75.3) 80.8% (80.0–81.9)
Fine-tuned Model B 75.8% (74.8–76.8) 82.8% (81.9–83.6)
Fine-tuned Model C 73.2% (72.2–74.3) 79.2% (78.4–80.3)

First row shows the performance of a model trained specifically for race prediction. Rows two to four show the performance for race prediction of models that were built by fine-tuning the model backbones of breast density prediction models. Density models A and B were originally trained for density prediction using data from a single race group only.