London520 patients trained a model that reads tumors without surgery.
Researchers built a random-forest tool predicting lymphovascular invasion in bladder cancer from routine clinical data, a marker that today requires a post-surgical biopsy to confirm.
The study reported 0.982 accuracy on outside-hospital data; validation before the model guides treatment remains untested.
Sources: Nature