
Open source AI segments complex cardiac MRIs
A new open-source AI matches human precision in tracing heart structures but falls short on the critical calculations doctors use to make treatment decisions.
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A new open-source AI matches human precision in tracing heart structures but falls short on the critical calculations doctors use to make treatment decisions.

By consolidating complex cardiac measurements into a single view, a new deep-learning model challenges the clinical habit of ignoring the right side of the heart.

A new study shows that AI foundation models can standardize cervical cancer screening across different countries, outperforming human pathologists where they struggle most.

A new deep learning model attempts to spot hard-to-find HER2-low breast cancers from standard tissue slides, but its modest accuracy reveals just how difficult this diagnostic boundary is to draw.

A new AI foundation model trained on over 800,000 heart videos can predict surgical needs directly from angiograms, challenging the traditional reliance on human-only visual interpretation in the cath lab.

A new artificial intelligence model uses 23 million data triplets to explain its clinical decisions instead of acting as a black box.

A new partnership aims to bring precision medicine to a disease long starved of reliable biomarkers.

A new artificial intelligence model outperforms existing tools in spotting tiny cancer deposits in lymph nodes across multiple cancer types.

By training deep learning models to read structural decay in tissue biopsies, researchers can now estimate the biological age of specific organs and predict chronic disease risk.

A new AI system can predict lymphoma subtypes and order diagnostic tests directly from initial biopsy scans, cutting down the days patients spend waiting for a diagnosis.