The demand for AI human resources in Vietnam is exploding. TopDev reports continuously show that AI/Machine Learning is a ...
In an era where insurance fraud drains billions from the global economy annually, a groundbreaking study by researchers ...
On Nov. 7, 2017, the American social-media platform Reddit shut down r/Incels, an online forum with more than 40,000 members. This was in line with a new policy the company brought in, banning content ...
IOP Publishing’s Machine Learning series is the world’s first open-access journal series dedicated to the application and ...
Donation after circulatory death (DCD) procurements provide an opportunity to alleviate the limited organ supply for solid ...
Under the influence of global warming, the Arctic is transitioning from a state dominated by multi-year thick ice to a "New ...
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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.
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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 ...
We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...
Prevailing AI architectures are not moving the needle. We need new ideas. Google Research proposes NL (nested learning). Here ...
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