Deep learning maps ventilator-associated pneumonia on CT and predicts mortality risk
A retrospective study of 512 ICU patients reports a multimodal deep-learning framework that segments CT lesions in ventilator-associated pneumonia and ...
A retrospective study of 512 ICU patients reports a multimodal deep-learning framework that segments CT lesions in ventilator-associated pneumonia and ...
A new personalized federated learning framework uses Transformer-based dynamic aggregation and adaptive regularization to improve colorectal cancer CT image classification ...
A convolution-inspired Spiking Neural P circuit encodes halftone binary images into colored spikes with a 75 percent size reduction and ...
A systematic review finds hybrid CNN-transformer models lead stroke lesion analysis, but explainable AI appears in only 11 percent of ...
A retrospective study of 201 patients built a nomogram combining ultrafast DCE-MRI and ADC radiomics features with clinical risk factors ...
A prospective study of 28 Crohn's disease patients found that a standardized intestinal ultrasound score correlated strongly with clinical activity ...
A review of three decades of artificial intelligence in prostate cancer demonstrates that while technical performance has advanced significantly, definitive ...
A structured narrative review finds that explainable AI techniques may improve transparency in diagnosing skin-manifesting neglected tropical diseases, while deep ...
Researchers found that contrast-enhanced ultrasound parameters TTP and R-PI demonstrate strong diagnostic capability for identifying testicular torsion and assessing subsequent ...
A domain-specialized reasoning model called Impression-R1 matched or outperformed general-purpose AI and participating radiologists on radiological impression generation across 11,884 ...
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© 2025 Scienmag - Science Magazine