Mass General Brigham researchers are betting that the next big leap in brain medicine will come from teaching artificial ...
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CNN-based system improves lung nodule detection and classification
Background and objectives Lung cancer remains the leading cause of cancer-related mortality worldwide. Early detection of pulmonary nodules is crucial for timely diagnosis and effective treatment.
13hon MSN
Brain responses to wildlife images can forecast online engagement—and help conservation messaging
What types of photos make people reach for their wallets? New Stanford University-led research suggests that brain activity can help forecast which wildlife images will inspire people to engage online ...
The proposed CNN-based system demonstrates the feasibility and robustness of deep learning for automatic lung nodule detection and classification. Despite strong results, the study acknowledges ...
Researchers at the University of Bayreuth have developed a method using artificial intelligence that can significantly speed up the calculation of liquid properties. The AI approach predicts the ...
Li and colleagues developed a deep-learning model to analyze EEG recordings and detect event-level EEG spikes. 2. The model achieved high accuracy and a low false-positive rate, with only 32% of human ...
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