New findings highlight the need to systematically check for bias in pathology AI to ensure equitable care for patients.

A doctor's visit often ends with you leaving with a pathology request form in hand. The request form soon has you filling a sample pot, having blood drawn, or perhaps even a tissue biopsy taken.

AI tools designed to diagnose cancer from tissue samples are quietly learning more than just disease patterns. New research ...

The digital revolution is now more quickly transforming pathology lab workflows, pointing towards accelerating adoption in the coming years.

Cancer-diagnosing AI models can secretly read patient demographics from pathology slides, leading to biased results.

Young people and adults with low back pain with or without sciatica do not have imaging requested by a non-specialist service unless serious underlying pathology is suspected. Imaging does not often ...