MRI Habitat Analysis Identifies High-Risk Prostate Cancer
A two-center study developed a biparametric MRI habitat analysis framework that effectively identifies pathologically high-risk prostate cancer, showing superior discrimination ...
A two-center study developed a biparametric MRI habitat analysis framework that effectively identifies pathologically high-risk prostate cancer, showing superior discrimination ...
A literature review finds that machine learning and bioinformatics have improved AML classification and risk stratification, but clinical implementation remains ...
A multicenter study demonstrates that integrating clinical, radiomics, habitat, and deep learning MRI features improves preoperative prediction of axillary lymph ...
In a retrospective two-centre study, an artificial intelligence electrocardiogram model integrating age and sex demonstrated discriminative value for acute aortic ...
A systematic review of 65 studies finds AI models for PCOS ultrasound diagnosis report high accuracy but suffer from substantial ...
An interpretable pathomics framework predicted BRAF V600E status in papillary thyroid carcinoma from routine Wright-stained cytology slides, reaching an AUC ...
A CT-based AI system reduced benign interventions among treated kidney lesions from 40.3 percent to 16.4 percent in a randomized ...
A two-center study reports that a random forest model using five bacterial species detected by probe capture-based metagenomic sequencing classified ...
A scoping review of 12 studies finds that risk prediction models for stroke-associated sarcopenia show promising discrimination but almost universally ...
A systematic review of 26 lung cancer pneumonia risk models finds a pooled AUC of 0.89 but high risk of ...
© 2026 Scienmag - Science Magazine
© 2026 Scienmag - Science Magazine