IDG Contributor Network: Sensitivity: Important for bedside manner and algorithmic diagnostics

Beth Israel Deaconess Medical Center and Harvard Medical School recently released a study in which researchers built a deep learning algorithm capable of assessing whether a cluster of lymph node cells contain cancer with a 92 percent success rate based on image recognition-based classification. While a 92 percent diagnostic success rate is typically more favorable than, say, a 90 percent diagnostic success rate, in a field with stakes as high as those in healthcare, the nature of those kinds o