AI Learns to Spot Abnormal Walking by Watching How Bodies Move
Researchers at Kocaeli University combined RGB video features and skeleton-based motion features in a multimodal deep learning framework that detects ...
Researchers at Kocaeli University combined RGB video features and skeleton-based motion features in a multimodal deep learning framework that detects ...
A new PLOS Digital Health study maps international and EU ethical and regulatory requirements for AI-based medical imaging diagnostics into ...
An international study of 30 neonatal intensive care units shows that continual learning can adapt adult-trained AI models to newborn ...
A new Cluster Computing study using stroke prediction shows that federated learning in healthcare will fail unless it confronts severe ...
A scoping review by Osaka Metropolitan University researchers found that only 77 of 545 studies validating commercial radiology AI products ...
A new PLOS Digital Health opinion argues that tens of thousands of authorised AI diagnostic tools rest on benchmark accuracy ...
A dual-center study reports a two-stage deep learning network that predicts hidden central lymph node metastasis in surveillance-eligible papillary thyroid ...
An analysis of 31 US legal cases shows that medical AI harms patients across a web of stakeholders while existing ...
A new study in npj Viruses evaluates how reliably large language models answer clinical questions about bacteriophage therapy, finding strong ...
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© 2025 Scienmag - Science Magazine