India, March 2 -- University of Warwick research warns that popular deep learning systems trained for cancer pathology may be relying on hidden shortcuts rather than genuine biological signals.
Artificial intelligence tools are increasingly being developed to predict cancer biology directly from microscope images, promising faster diagnoses, and cheaper testing. But new research from the University of Warwick, published inNature Biomedical Engineering, suggests that many of these systems may be using visual shortcuts rather than true biology - raising concerns that some AI pathology tools are currently too unreliable for real-world patient care.
"It's a bit like judging a restaurant's quality by the queue of people waiting to get in: it's...