AI doesn't have to make the diagnosis to be useful.
YALE NEWS + YALE SCHOOL OF MEDICINE · OCTOBER 8, 2026
AI doesn't have to make the diagnosis to be useful.
Sometimes its best job is to ask the pathologist to take another look.
Yale's prostate-biopsy workflow is a good example. The pathologist reviews the tissue and makes a diagnosis first. Then they check the areas flagged by an AI tool. If something doesn't match, they go back to the slide.
How to read it
A small group of glands. A finding that deserves a closer look. A second chance to ask, "Did I miss anything?"
Yale describes its Paige AI platform as a quality-control safety net. The diagnosis still belongs to the pathologist.
That distinction matters. A flag is not a diagnosis. It is a reason to review the evidence again.
The team is still collecting performance metrics. So this isn't a claim that the tool has already improved patient outcomes, or that every laboratory should use it. It's a real example of how AI can fit around clinical judgment rather than displace it.
The rollout was reported in August. Yale's October 8 interview gives a clearer view of how the workflow is being used now.
Dr. Mohan's take
For me, the useful question is less "Can AI replace the pathologist?" and more "Where can a second check help us do better work?"
Where would a second reader add the most value in your workflow?
#DigitalPathology #Pathology #AIinMedicine #LabMedicine
Sources
For education only. This page does not offer personal medical advice.