AI Reads Routine CT Scans to Predict Gastric Cancer Biomarker Without Biopsy
A multicenter study of over 1,000 gastric cancer patients shows that machine learning analysis of routine CT scans can non-invasively ...
A multicenter study of over 1,000 gastric cancer patients shows that machine learning analysis of routine CT scans can non-invasively ...
A phantom study reports millimeter-level accuracy for fusing tracked ultrasound with C-arm cone-beam CT, a radiation-sparing approach to spine surgery ...
A new CMR and machine-learning study shows that layer-specific heart muscle strain combined with routine blood tests can distinguish acute ...
A new economic evaluation of two Iranian hospitals finds that outsourcing MRI services cut patient waiting times from nearly 12 ...
Researchers have built a hybrid transformer-U-Net that segments diabetic foot ulcers with expert-level overlap and quantitatively explainable visualisations.
A machine learning model trained on CT texture features of metastatic neck lymph nodes predicted which patients with advanced nasopharyngeal ...
A retrospective Chinese study of 81 patients with hemoptysis found that CT angiography measures bronchial arteries only fractionally larger than ...
A new benchmark study shows that data augmentation lifts pre-trained deep learning models to up to 98.06% accuracy in classifying ...
Chinese researchers have developed LMMR-YOLO, a lightweight deep learning model that automatically detects macular holes in OCT scans and measures ...
A Chinese proof-of-concept study found that a CT radiomics model predicting early response to radiotherapy in elderly esophageal cancer patients ...
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© 2025 Scienmag - Science Magazine