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.
A new AI foundation model trained on over 800,000 heart videos can predict surgical needs directly from angiograms, challenging the traditional reliance on human-only visual interpretation in the cath lab.