AI Reads Old Rib Fractures on CT Scans With Day-Level Precision
Researchers in Shanghai have developed a multi-task deep learning model that estimates the age of rib fractures on chest CT ...
Researchers in Shanghai have developed a multi-task deep learning model that estimates the age of rib fractures on chest CT ...
Researchers in China have developed a transparent deep learning framework called MDANet that accurately predicts the dynamic behavior of a ...
Researchers have developed an AI framework that fuses seven transformation domains of a document image with attention mechanisms and fine-grained ...
Researchers at Hanoi University of Science and Technology have developed a fuzzy-set-based hesitation score that makes multi-task AI models robust ...
Researchers at the University of Leeds have developed PICO, a single-stage AI system that estimates the full 3D position and ...
A new multi-task AI framework fuses raw waveforms, spectral features, and statistics through bidirectional cross-modal attention to detect heart murmurs, ...
A new adaptive multi-task neural network called AXMLN dramatically improves radio signal detection at extremely low signal-to-noise ratios, providing a ...
Researchers at the Chinese Academy of Sciences have developed an event-aware CNN–GRU hybrid neural network that accurately predicts transient inlet ...
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© 2025 Scienmag - Science Magazine