AI Spots the Earliest Whisper of Alzheimer’s Disease in Routine Brain Scans
A hybrid deep learning and radiomics framework can detect subjective cognitive decline, the earliest preclinical stage of Alzheimer's disease, from ...
A hybrid deep learning and radiomics framework can detect subjective cognitive decline, the earliest preclinical stage of Alzheimer's disease, from ...
A multi-task deep learning model that fuses pretreatment MRI and whole slide pathology images outperformed standard staging in predicting chemotherapy ...
A new study shows that an interpretable AI model fusing 18F-PSMA-1007 PET/CT and multiparametric MRI can predict prostate cancer aggressiveness ...
A multicenter study shows that a hybrid model combining MRI radiomics, delta features, and clinical variables predicts overall survival in ...
A two-center study trained a deep learning radiomics model on routine breast ultrasound images to predict sentinel lymph node metastasis ...
Researchers have developed a registration-consistent framework that turns routine daily cone-beam CT scans into a longitudinal measure of tumour texture ...
A comprehensive review finds that while artificial intelligence shows striking performance in detecting, staging, and predicting gastric cancer outcomes, most ...
A new systematic review of 28 studies finds that deep learning detects vulnerable carotid plaques with a pooled AUC of ...
A new meta-analysis of eleven studies finds that AI-driven analysis of routine contrast-enhanced CT scans can predict the Ki-67 proliferation ...
Chinese researchers have built a machine-learning nomogram that combines biparametric MRI radiomics, clinical variables, and PI-RADS scores to predict clinically ...
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© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine