Published in Women's Health Weekly, April 14th, 1997
Data from more than 16,000 smears indicate that the neural network-based Papnet test found many pre-cancerous abnormalities missed by conventional manual microscopic screening. Despite having an abnormality present on the smear, these slides were originally reported as negative, thus resulting in a false-negative diagnosis. While still not perfect, Papnet testing was shown to identify 10 times more false-negative smears than...
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