Table 2 Sensitivity of AI in detecting different pathological types of breast malignancy
From: Does artificial intelligence aid in the detection of different types of breast cancer?
AI results | P value | |||||
|---|---|---|---|---|---|---|
False negative | True positive | |||||
N | % | N | % | |||
Invasive ductal carcinoma | No | 2 | 4.7 | 41 | 95.3 | < 0.0001 |
Yes | 3 | 3.3 | 88 | 96.7 | ||
Invasive lobular carcinoma | No | 4 | 3.8 | 101 | 96.2 | < 0.0001 |
Yes | 1 | 3.4 | 28 | 96.6 | ||
Ductal carcinoma in situ | No | 5 | 4.0 | 120 | 96.0 | < 0.0001 |
Yes | 0 | 0.0 | 9 | 100.0 | ||
Others | No | 4 | 3.1 | 125 | 96.9 | < 0.0001 |
Yes | 1 | 20.0 | 4 | 80.0 |