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Machine-learning model could save costs, improve liver transplants, Stanford-led research shows
A machine learning-based model predicts how long it will take an organ donor to die after removing life support, aiding surgeons in deciding whether organs can be successfully transplanted.
A hybrid system combining artificial intelligence with live human specialists was able to more effective diagnose pneumonia from chest X-rays than a previously validated automatic diagnostic algorithm ...
Artificial intelligence and machine learning are rapidly transforming scientific research, with researchers across multiple ...
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