New AI method captures uncertainty in medical images

By providing plausible label maps for one medical image, the Tyche machine-learning model could help clinicians and researchers capture crucial information.

artificial intelligence broad institute clinicians computer science and technology health care image images imaging information machine machine learning maps medical mit schwarzman college of computing national institutes of health (nih) research researchers school of engineering uncertainty