When the performance of AI models was assessed within stratified patient subgroups, such as only high-grade breast cancers or only MSI-positive tumors, accuracy fell substantially, revealing that the ...
Yale researchers have developed a machine learning model, called Immunostruct, that can help scientists create more ...
Artificial intelligence tools are increasingly being developed to predict cancer biology directly from microscope images, ...
University of Warwick research warns that popular deep learning systems trained for cancer pathology may be relying on hidden ...
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AI cancer tools may be using visual shortcuts rather than true biology
New research warns that popular deep learning systems trained for cancer pathology may be relying on hidden shortcuts rather than genuine biological signals. Artificial intelligence tools are ...
A research team from The Hong Kong University of Science and Technology (HKUST) has developed GrainBot, an AI-enabled toolkit that automatically extracts and quantifies multiple microstructural ...
Researchers at Fred Hutch Cancer Center are testing whether a collaborative AI research platform can accelerate the pace of ...
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Virtual immunostaining method improves detection of vascular invasion in thyroid cancer
In a groundbreaking study published in BME Frontiers , researchers from the University of California, Los Angeles (UCLA), in ...
Rapid advances in artificial intelligence, machine learning, and data-driven computational modeling have opened unprecedented opportunities to transform ...
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