Computers trounce pathologists in predicting lung cancer type, severity, researchers find

Computers can be trained to be more accurate than pathologists in assessing slides of lung cancer tissues, according to a new study. The researchers found that a machine-learning approach to identifying critical disease-related features accurately differentiated between two types of lung cancers and predicted patient survival times better than the standard approach of pathologists classifying tumors by grade and stage….

Computers can be trained to be more accurate than pathologists in assessing slides of lung cancer tissues, according to a new study. The researchers found that a machine-learning approach to identifying critical disease-related features accurately differentiated between two types of lung cancers and predicted patient survival times better than the standard approach of pathologists classifying tumors by grade and stage….