AI Screens Children for Hidden Eating Disorder With 94 Percent Accuracy
Researchers built a machine learning decision support tool that classifies ARFID risk in children from a nine-item parent questionnaire with ...
Researchers built a machine learning decision support tool that classifies ARFID risk in children from a nine-item parent questionnaire with ...
A team of environmental chemistry researchers outlines a three-pronged roadmap for the discipline, urging stronger mechanistic research, engineering thinking from ...
Researchers have developed an interpretable hierarchical pipeline combining Gaussian filtering, YCbCr-based CLAHE enhancement, K-means nuclei segmentation, and SVM classification that ...
Researchers at UCLA and Cedars-Sinai developed a computer vision AI that classifies laparoscopic peg transfer performance with 84 percent accuracy, ...
A systematic review finds rapid technological progress in forecasting compound heat and air pollution events but a persistent gap between ...
A machine learning radiomics approach that maps internal tumor habitats on venous-phase CT scans accurately distinguishes retroperitoneal dedifferentiated liposarcoma from ...
A landmark special issue of the Journal of Intelligent Information Systems argues that recommender systems must be redesigned to actively ...
A new double-layer consensus framework combines Pythagorean fuzzy sets, behavioral economics, social network analysis, and graph attention networks to help ...
A hybrid transformer-LSTM model detects sarcasm in Punjabi social media text with 94.29 percent accuracy, revealing hidden customer dissatisfaction for ...
Researchers in India have developed a context-aware matrix completion algorithm that rebuilds missing sensor data in cognitive IoT networks with ...
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© 2026 Scienmag - Science Magazine