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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 ...
Artificial intelligence (AI), particularly deep learning models, are often considered black boxes because their ...
A hybrid model combining LM, GA, and BP neural networks improves TCM's diagnostic accuracy for IPF, achieving 81.22% ...
Speaking at a recent conference panel, officials identified a top use case on their wish list: assisting with the classification of records and the authorization to access those records. “I would ...
Abstract Deep learning models have been successful in many areas, but understanding their behavior remains a challenge. Most prior explainable AI ...
Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...
Recently, a research team from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences, has developed a new deep learning method that improves the classification accuracy of mixed ...
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