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

Royal Philips and LabPON, the first clinical laboratory to transition to 100 percent histopathology digital diagnosis, today announced its plans to create a digital database of massive aggregated sets ...

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

It is a renaissance for companies that sell GPU-dense systems and low-power clusters that are right for handling AI inference workloads, especially as they look to the healthcare market–one that for a ...

Acquire a clinically relevant patient history from the treating physician. Compose a pertinent autopsy discussion clearly stating the primary and underlying causes of death. Present pediatric tumors ...

As artificial intelligence and machine learning are adopted across the industry, radiologists and pathologists are blasting the same alarm as countless others by asking whether AI-powered diagnostics ...

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

Pathology laboratories are big data environments. However, these big data are often hidden behind expert humans who manually and with great care visually parse large complex and detailed datasets to ...