AI That Knows When It’s Unsure: New Brain Tumor Model Flags Its Own Doubts
A new calibration-aware Vision Transformer framework classifies brain tumor MRI scans with over 98 percent accuracy while flagging uncertain cases ...
A new calibration-aware Vision Transformer framework classifies brain tumor MRI scans with over 98 percent accuracy while flagging uncertain cases ...
Interpretable machine learning models predict 7-, 14-, and 28-day mortality in sepsis-associated liver injury, outperforming modified SOFA and MELD-Na in ...
A new critical review finds that AI-enabled ECG has reached clinical maturity in STEMI triage and reduced ejection fraction screening ...
Transplantation researchers argue that AI in transplant medicine consists of many narrow, single-purpose tools rather than one monolithic system, and ...
A validated bedside scoring system called STARZ can identify very low birth weight neonates at high risk of acute kidney ...
A new review of 218 studies maps how artificial intelligence, from deep learning on polysomnography signals to smartwatch screening and ...
A multicenter study shows that an AI model combining multi-phase CT radiomics with clinical data can accurately distinguish benign from ...
A sweeping review of 172 studies finds that artificial intelligence in obstetric anesthesia shows strong predictive performance but suffers from ...
A five-center study shows deep learning models, especially nnU-Net, predict aggressive meningioma grades from MRI more reliably across hospitals than ...
An XGBoost artificial intelligence model trained on Swedish neurointensive care data has successfully predicted dangerous intracranial pressure surges in traumatic ...
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© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine