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Multimodal deep learning model improves risk prediction for cervical cancer radiotherapy decisions
Standard concurrent chemoradiotherapy (CCRT) for cervical cancer achieves disease-free survival (DFS) in approximately 70% of ...
Deep learning models had high sensitivity in screening for pulmonary hypertension and congenital heart disease–associated PAH.
El Niño-Southern Oscillation (ENSO) is the strongest interannual variability signal in Earth's climate system. The shifts ...
A new study presented at the International Association for the Study of Lung Cancer 2025 World Conference on Lung Cancer ...
Cities are particularly vulnerable to heat stress because paved and densely built-up areas tend to store the heat. More ...
A research team has developed a novel direct sampling method based on deep generative models. Their method enables efficient ...
A new study introduces an innovative method to monitor sludge moisture content in real-time, combining jet imaging and deep ...
Environmental scientists are increasingly using enormous artificial intelligence models to make predictions about changes in ...
Researchers at The University of Osaka have developed a computer graphics (CG) model, NeuraLeaf, capable of representing a ...
A team of scientists at Georgia Southern University has combined both spatial and temporal attention mechanisms to develop a new approach for PV inverter fault detection. Training the new method on a ...
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