Your breast cancer pathology report is one of the most important documents you’ll get during the diagnostic process. It can be packed with information and may include many strange-sounding terms. If ...
Over the past 50 years, multiple pathology organizations worldwide have evolved in cancer histopathology reporting from subjective, narrative assessments to structured, synoptic formats using ...
The digital transformation of pathology is opening up new possibilities for cancer diagnosis. Today's artificial intelligence ...
Pathology has long been the cornerstone of cancer diagnosis and treatment. A pathologist carefully examines an ultrathin slice of human tissue under a microscope for clues that indicate the presence, ...
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 ...
Pathology has long been the cornerstone of cancer diagnosis and treatment. A pathologist carefully examines an ultrathin slice of human tissue under a microscope for clues that indicate the presence, ...
The digital transformation of pathology is opening up new possibilities for cancer diagnosis. Today’s artificial intelligence (AI) techniques now go far beyond mere automation: they make it possible ...
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 Northwestern University study found AI language models produced more detailed oncology pathology reports than physicians, marking a milestone in diagnostic technology. Separately, researchers ...
PRET, developed at the Hong Kong University of Science and Technology, uses in-context learning to recognise 18 cancer types ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results