Why Bigger Surgical Registries Cannot Guarantee Smarter Machine Learning Predictions
Surgeons and statisticians from Barcelona argue that neutral machine learning results in abdominal wall surgery reveal when large registries lack ...
Surgeons and statisticians from Barcelona argue that neutral machine learning results in abdominal wall surgery reveal when large registries lack ...
Researchers trained an explainable machine learning pipeline that predicts smartphone addiction from behavioral usage data with 97.8 percent accuracy, identifying ...
Japanese researchers have developed and internally validated prediction models that estimate, at the moment of Medical Emergency Team activation, which ...
A new review in Biogerontology lays out a five-part framework for interpreting AI-derived ocular age estimates, warning that a cross-sectional ...
A rigorous cross-cohort analysis finds that the blood proteins FGF2 and PRDX3, measured during acute COVID-19, do not reliably improve ...
A large cross-country validation study finds that statistical models predicting fluoroquinolone resistance in rifampicin-resistant tuberculosis lose accuracy when transferred between ...
A formal response in Neurocritical Care defends cerebrospinal fluid hemopexin as a candidate biomarker for sepsis after intracerebral hemorrhage amid ...
A translational proteomics study identifies cerebrospinal fluid hemopexin as a candidate biomarker for secondary sepsis after intracerebral hemorrhage, while a ...
A systematic review of 26 studies finds that although assisted reproductive technology nearly doubles preeclampsia risk, no existing clinical prediction ...
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© 2025 Scienmag - Science Magazine