AI Mammography Advances Falter When Datasets Lack Diversity
A 2026 review finds that dataset diversity, annotation quality and external validation remain major barriers to reliable clinical generalization of ...
A 2026 review finds that dataset diversity, annotation quality and external validation remain major barriers to reliable clinical generalization of ...
A multicenter retrospective study found that spatial heterogeneity measured across three MRI sequences predicted pancreatic ductal adenocarcinoma perineural invasion with ...
A review of 705 studies found no universally superior adaptation strategy for medical image foundation models, while independent validation and ...
A foundation model trained on more than 40 million facial images produced tools that estimate biological age and directly predict ...
A two-center study with external validation finds that admission lactate is associated with 30-day mortality after severe traumatic brain injury ...
A retrospective study of 72 geriatric diabetic foot patients found that a simple score based on preoperative hemoglobin, platelet count, ...
A questionnaire-based machine-learning model developed from HIV sentinel surveillance data ranked testing encounters among men who have sex with men ...
A BMC Cancer study fused a routine blood-based inflammation index with age, smoking history, and AJCC stage to build a ...
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 ...
© 2026 Scienmag - Science Magazine
© 2026 Scienmag - Science Magazine