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. 2026 Sep 9;28:e86453. doi: 10.2196/86453

Table 2.

Performance of the selected models on the PHIa detection task, measured by macro-average F1-score with 95% CI. Higher values indicate better performance. The column headings NAME, DATE, TIME, ID, AGE, TEL, and ADDRESS represent the original PHI entity categories.

Model Size NAME DATE TIME ID AGE TEL ADDRESS Overall (95% CI)
Mistral-small 24B 0.84b 0.11 0.83 0.26 0.53b 0.06 0.08b 0.33 (0.32-0.35)
Phi4 14B 0.00 0.77 0.88 0.51 0.53b 0.06 0.01 0.34 (0.32-0.36)
Meditron3-Phi4 14B 0.00 0.89 0.90b 0.46b 0.43 0.06 0.01 0.34 (0.32-0.36)
Falcon3 10B 0.00 0.90b 0.87 0.31 0.53 0.06 0.04 0.34 (0.31-0.35)
Llama3.1 8B 0.00 0.49 0.61 0.16 0.26 0.01 0.04 0.20 (0.17-0.22)
Meditron3 8B 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 (0.00-0.00)
Fine-tuned RoBERTa — 0.95 0.99 1.00 0.81 0.74 1.00 0.79 0.94 (0.91-0.96)
Support, n — 541 1336 314 25 138 166 571 3091

aPHI: protected health information.

bHighest performance among the tested large language models for each PHI entity category.

cNot applicable.