BiLSTM, an ICD-11 automatic coding model using MC-BERT and label attention. Experiments on clinical records show 83.86% ...
A multimodal sleep foundation model based on polysomnography data can predict the risk for multiple conditions, including dementia.
One of the most difficult challenges in payment card fraud detection is extreme class imbalance. Fraudulent transactions ...
News-Medical.Net on MSN
AI trained on sleep data predicts future disease and mortality years in advance
The SleepFM model reveals how sleep analysis can predict disease risk, offering insights into sleep's role as a vital health ...
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The Manila Times on MSNOpinion
When science becomes a messiah: Why Project NOAH’s P1-billion budget should make us pause
THE P1-billion allocation for Project NOAH is, on its face, a welcome development. In a country battered annually by typhoons ...
Existing solutions rely heavily on sequential processing pipelines that convert speech into text and then pass it to language ...
The shift underway is far bigger than replacing manual steps. It’s a move from reactive, error-prone processes to proactive ...
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This new, dead simple prompt technique boosts accuracy on LLMs by up to 76% on non-reasoning tasks
Most modern LLMs are trained as "causal" language models. This means they process text strictly from left to right. When the ...
Artificial intelligence (AI), particularly deep learning models, are often considered black boxes because their ...
A poor night’s sleep may do more than leave one tired the next day — it could also signal serious health risks years in advance. Researchers from Stanford Medicine have developed a new artificial ...
Chase Markel, a University of Wyoming Ph.D. student from Wheatland, is harnessing artificial intelligence (AI) to transform ...
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