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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 ...
In recent years, the revolution of technology and human concern has shifted artificial intelligence in medicine from a fictional idea to a tangible reality that is changing the shape of modern ...
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.
Donation after circulatory death (DCD) procurements provide an opportunity to alleviate the limited organ supply for solid ...
Yoshua Bengio talks about his efforts to identify — and address — the risks posed by AI.
The rapid development and integration of artificial intelligence (AI), including predictive, generative, and emerging agentic ...
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Researchers use AI and genetics to identify early signs of a rare, life-threatening heart condition
At Mayo Clinic, cardiologists Peter Noseworthy, M.D., and John Giudicessi, M.D., Ph.D., are uncovering the earliest signs of ...
We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...
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