Over the past 50 years, multiple pathology organizations worldwide have evolved in cancer histopathology reporting from subjective, narrative assessments to structured, synoptic formats using ...

Metastatic Versus Localized Disease as Inclusion Criteria That Can Be Automatically Extracted From Randomized Controlled Trials Using Natural Language Processing We fine-tune two publicly available ...

Cancer biology is a rapidly evolving field, with pathology and biomarker research at the forefront of innovations in ...

AI tools designed to diagnose cancer from tissue samples are quietly learning more than just disease patterns. New research shows these systems can infer patient demographics from pathology slides, ...

A group of investigators led by Cedars-Sinai have developed and successfully tested a new artificial intelligence (AI) method to make launching cancer clinical trials easier and faster. The method ...

A new AI-driven pathology system that automates cancer diagnostics from slide analysis to reporting is now undergoing regulatory review in both Hong Kong and mainland China. The Hong Kong University ...

As the demand for pathology-based diagnoses rises, particularly with the growth of personalised cancer care, improved workflow efficiency allows pathologists to manage their growing caseloads more ...