Analyzing several major pathology AI models designed to diagnose cancer, the researchers found unequal performance in ...

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

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

Ovarian pathology, which includes a wide range of benign and malignant conditions, poses a major diagnostic challenge in women’s health. Accurate and timely diagnosis is essential for ...

A common, non-invasive skin imaging technique can predict which melanoma patients face a higher risk of metastasis as accurately as current methods that require analyzing tumor samples after surgery.

In a new study, researchers have discovered a connection between inflammation in the areas of interstitial fibrosis and ...

1 Melbourne School of Physiotherapy, The University of Melbourne, Melbourne, Australia 2 Melbourne School of Engineering, The University of Melbourne, Melbourne, Australia 3 Melbourne Brain Centre, ...

Among 1,134 pathology reports, Google's Bard and OpenAI's GPT-4 respectively interpreted 87.57% and 97.44% of reports correctly, according to Eric Steimetz, MD, MPH, of SUNY Downstate Medical Center ...

- Results showed 100% sensitivity and reduced time to diagnosis by an estimated 65.5%, with potential to improve pathologists’ workflow in a real-world environment -Brazil-based Grupo Oncoclinicas is ...

Plasma p-tau217 successfully identified Alzheimer's pathology in several neurodegenerative syndromes. This included disorders not typically associated with Alzheimer's disease, like frontotemporal ...

A new study using induced pluripotent stem cell (iPSC) technology links astrocyte dysfunction to Parkinson’s disease (PD) pathology. The study carried out at the University of Eastern Finland and ...