A computer program based on data from nearly a half-million tissue images and powered by artificial intelligence can accurately diagnose cases of adenocarcinoma, the most common form of lung cancer, a new study shows.
AI collaborators in Britain and the UK have developed a computer system that they say can spot cancer signs in samples with outstanding levels of accuracy.
Digital pathology promises to revolutionize medicine by transforming tissue samples into high-resolution images that can be shared and analyzed using powerful new computational tools to assist with clinical decision-making and personalize patient care. But there are challenges to be overcome to achieve this bold new vision for medicine. In a…
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Researchers developed Prov-GigaPath, a whole-slide pathology foundation model using a novel vision transformer architecture. The model demonstrates superior performance in mutation prediction, cancer subtyping, and vision-language tasks. It leverages large-scale real-world data from over 30,000 patients to enhance clinical diagnostics.