The ideal HIV screening test would correctly identify all HIV-positive and HIV-negative individuals 100% of the time. While many HIV tests are extremely accurate, they do not achieve 100% accuracy ...

The sensitivity of a test is the percentage of results that will be correctly positive when HIV is actually present. Lower rates of sensitivity will produce more false negative results ... read our ...

In a new study led by researchers at Karolinska Institutet in Sweden, AI models did a better job of detecting ovarian cancer than human experts. Doctors and AI experts weigh in.

A new algorithm from ROC for matching latent fingerprint biometrics has scored a 30 percent accuracy gain in a U.S.

This could either be in the form of a 'false positive' - a test that says you're pregnant when you don't actually have a ...