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

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

Artificial intelligence is no longer just spotting tumors a little faster than humans. In study after study, machine learning systems are uncovering hidden patterns in cancer data that even veteran ...

Cancer is the second leading cause of death worldwide. Since age is one of the risk factors for the development of cancer, ...

Antimicrobial resistance (AMR) is an increasingly dangerous problem affecting global health. In 2019 alone, ...

University of Navarra (Spain) researchers have developed RNACOREX, a new open-source software capable of identifying gene ...

AI models using ultrasound imaging demonstrate superior diagnostic performance for ovarian cancer compared to sonographers, with higher sensitivity and specificity. The study emphasizes the need for ...

As the diagnostic landscape evolves, several patterns are emerging across both clinical research and market innovation.

Researchers at Osaka Metropolitan University have discovered a practical way to detect and fix common labeling errors in ...

BIDMC's nuclear imaging specialists use PET and SPECT to diagnose, stage and treat certain types of cancer. Learn more.