AI Reads Heart Rhythms Well on Paper, but Clinical Proof Still Lags
A systematic review of 75 studies finds ECG-based AI models reporting 90 to 99 percent accuracy, but warns that external ...
A systematic review of 75 studies finds ECG-based AI models reporting 90 to 99 percent accuracy, but warns that external ...
A new ensemble deep learning framework called EnPreNiNet, paired with a night image enhancement technique, achieved a reported mean Average ...
A new attention-based neural network that reconfigures its risk logic according to macroeconomic conditions outperformed standard machine learning and statistical ...
A comprehensive narrative review finds that predictive AI can accelerate pollutant hazard assessment, monitoring, and exposure modeling, but only as ...
Researchers have built a federated, explainable deep learning framework that detects attacks on Internet of Medical Things devices with detection ...
A customized VGG19 deep learning model trained on 2,100 chest X-rays from Ethiopian hospitals classified pneumonia and tuberculosis with 99% ...
A hybrid CNN-LSTM-attention model predicts risky digital usage patterns in adults aged 60 and older with 0.947 accuracy and 0.93 ...
A new systematic review and meta-analysis of 20 studies finds that AI models show high pooled accuracy for detecting pediatric ...
A study tested nine deep learning models on time-frequency images of EEG signals, with Mel-spectrogram features paired with AlexNet reaching ...
Deep learning models trained on video, equipment logs and clinical data from 222 real coronary angiograms recognized catheterization lab workflow ...
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© 2025 Scienmag - Science Magazine