Evaluating AI in breast cancer screening: a complex task
Magnus Dustler · The Lancet Digital Health · 2020
Today, artificial intelligence (AI) seems to be making an impact in almost every field of research. Breast cancer screening is one of them. Digital mammography is the current standard modality for early breast cancer detection, but as with every screening tool, it has its limitations. Sensitivity in a given screening round is estimated at 75–85%,1 meaning that a substantial fraction of cancers go undetected. In recent screening studies, digital breast tomosynthesis has found up to 40% more cancers than digital mammography,2–4 suggesting that previously reported sensitivities for digital mammography are too high.