A new study shows that AI foundation models can standardize cervical cancer screening across different countries, outperforming human pathologists where they struggle most.
Hospitals are rushing to deploy internal clinical AI assistants, but the motive is as much about defending their market share as it is about saving doctors time.
A new deep learning model attempts to spot hard-to-find HER2-low breast cancers from standard tissue slides, but its modest accuracy reveals just how difficult this diagnostic boundary is to draw.
A specialized neural network outperformed both emergency physicians and general-purpose chatbots in detecting life-threatening heart blockages on electrocardiograms.