The rising global burden of pathological aging engenders an urgent need for accessible tools enabling early detection of physical decline, which significantly impacts quality of life and healthcare systems. We hypothesized that speech analysis could ... read more
Neural networks : the official journal of the International Neural Network Society
Feb 28, 2026
Viscoelastic materials are widely used in fields such as transportation engineering, biomedical systems, and polymer science. Their strong nonlinearity, time-dependent behavior, and coupled multiphysics responses pose substantial challenges for model... read more
Neural networks : the official journal of the International Neural Network Society
Feb 28, 2026
Visible and infrared image fusion aims to integrate complementary information from both modalities to produce high-quality fused images that enhance downstream computer vision tasks. However, existing fusion methods tend to use equal weight to fuse i... read more
Neural networks : the official journal of the International Neural Network Society
Feb 28, 2026
The task of Class-Incremental Learning (CIL) is particularly challenging due to the absence of past data, which often results in severe catastrophic forgetting and complicates the balance between stability and plasticity. Recent Analytic CIL (ACIL) m... read more
Visual point-of-care testing (POCT) technologies convert biomolecular events into naked-eye readable signals. These systems offer rapid assay times, user-friendly operation, and eliminate the need for specialized instruments, making them particularly... read more
European journal of obstetrics, gynecology, and reproductive biology
Feb 28, 2026
Fetal and neonatal alloimmune thrombocytopenia (FNAIT) is a major cause of severe thrombocytopenia, intracranial hemorrhage, and long-term neurological impairment in otherwise healthy neonates. Current management strategies are largely reactive, rely... read more
Artificial intelligence (AI) systems are increasingly integrated into clinical practice, where they demonstrate potential to mitigate adverse events through enhanced patient monitoring and decision support. However, these AI systems also introduce et... read more
OBJECTIVES: To evaluate the caries detection performance of a commercially available AI-system (Nostic) and human raters for radiographic caries detection using tooth sections as reference. METHODS: Radiographs and corresponding tooth sections from e... read more
PurposeTo assess the effectiveness of robot-assisted training (RAT) plus acupuncture therapy (AT) on lower limb functional recovery in stroke patients.MethodsThe study protocol was registered with INPLASY (INPLASY2024120107). We searched CNKI, Wanfan... read more
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