Federated Learning Meets a Hard Truth: Stroke Prediction Exposes the Gaps in Privacy-Preserving Healthcare AI
A new Cluster Computing study using stroke prediction shows that federated learning in healthcare will fail unless it confronts severe ...
A new Cluster Computing study using stroke prediction shows that federated learning in healthcare will fail unless it confronts severe ...
A multicentre Spanish study of 224 patients found the widely used KLIC score failed to predict failure of implant-retaining surgery ...
An exploratory MIMIC-III cohort study found that baseline thrombocytopenia showed no precise independent association with a 48-hour respiratory-support burden endpoint ...
Researchers have developed FedDeepRiskNet++, a federated learning framework that combines differential privacy, homomorphic encryption and adaptive scheduling to let hospitals ...
Researchers have developed a clinical and MRI-based scoring system that distinguishes benign from malignant non-mass enhancement breast lesions with high ...
A prospective pediatric ICU study shows that machine learning applied to EEG background features and clinical data predicts acute cerebral ...
Researchers have developed a transformer-based multimodal AI model that accurately identifies sarcopenia and severe sarcopenia in gastric cancer patients using ...
Researchers in China built an interpretable Random Forest model that predicts which women with diminished ovarian reserve will progress to ...
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© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine