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Machine learning model boosts success of liver transplants from circulatory death donors
There are more candidates on the waitlist for a liver transplant than there are available organs, yet about half the time a ...
Researchers successfully developed a machine learning-based method for predicting symptom deterioration in patients with cancer.
The work aligns with Mayo Clinic's Precure initiative, aiming to predict and prevent diseases before they manifest, ...
A vascular digital twin might see a heart problem before a patient shows any symptoms.
Risk stratification of patients with chest pain has traditionally focused on identifying obstructive coronary artery disease (CAD). Using this traditional approach, many symptomatic individuals are ...
The rapid development and integration of artificial intelligence (AI), including predictive, generative, and emerging agentic ...
We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...
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