Bio-inspired self-learning sensor network extends lifetime of rural health monitoring
A simulation study reports that a bio-inspired, AI-enabled wireless sensor network design improved network lifetime, energy efficiency, reliability and latency ...
A simulation study reports that a bio-inspired, AI-enabled wireless sensor network design improved network lifetime, energy efficiency, reliability and latency ...
Researchers have built a federated, explainable deep learning framework that detects attacks on Internet of Medical Things devices with detection ...
A four-tier wearable health monitoring framework combining multimodal deep learning, federated learning, differential privacy and blockchain auditability has reported strong ...
Mount Sinai has received a five-year, approximately $4 million NIH grant to develop AI models that predict and help prevent ...
A new federated learning framework for chest X-ray analysis reports modest accuracy gains over existing methods while aligning explanations across ...
A five-stage aggregation framework called Hybrid Fair reports top F1 scores in six of eight model–dataset combinations while cutting blockchain ...
A new federated learning framework called NeuroSono-Net classifies neonatal brain ultrasound conditions across simulated institutions while keeping patient data local, ...
A new narrative review finds that medical vision–language AI models show strong benchmark results but suffer from inconsistent evaluation reporting, ...
A Scientific Reports study presents a causal-enhanced federated transfer learning framework that improved cross-domain generalization robustness by 43% over conventional ...
A systematic review of 87 studies identifies fragmentation across multimodal fusion, adaptive learning, edge inference, privacy and explainability as the ...
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© 2025 Scienmag - Science Magazine