Aiming at the imbalance between accuracy and real-time of existing fatigue driving detection models, and the accuracy is lower in low illumination, an LDIE-FDNet (Lightweight Dynamic Image Enhancement-Enabled Real-time Fatigue Driving Detection Netwo... read more
Medical science monitor : international medical journal of experimental and clinical research
Apr 1, 2026
BACKGROUND This study evaluates the diagnostic performance of 3 prominent artificial intelligence (AI)-powered large language models (LLMs) - ChatGPT, Copilot, and Gemini - as AI assistants for the diagnosis of oral lesions and periodontal conditions... read more
Achieving high-fidelity tactile sensing under dynamic deformation is a key bottleneck for the practical application of flexible electronics. However, conventional sensing materials face mechanical mismatch with biological tissues and signal distortio... read more
Residues of neonicotinoid insecticides (NEOs) pose serious threats to ecological systems and human health. Conventional nanozyme sensors often suffer from limited catalytic diversity and concentration-dependent response mechanisms, which lead to sign... read more
We report an in-silico demonstration of an all-optical cell classification system using a single-layer diffractive neural network (DNN) optimized for real-world biomedical images. Implemented virtually with a spatial light modulator (SLM), the DNN wa... read more
As the backbone of global communication infrastructure, optical fibers carry vast amounts of sensitive data, making them prime targets for eavesdropping attacks that can compromise data confidentiality and national security. However, optical fibers a... read more
Achieving ultra-low reflection across the visible spectrum and under wide incident angles is of considerable importance for broadband antireflection coatings and optical interface engineering. Here, we introduce a bilayer subwavelength dielectric met... read more
BACKGROUND: Artificial intelligence (AI)-enabled digital health kiosks are increasingly used in workplaces and communities to promote health awareness, especially in low- and middle-income countries. However, evidence on their real-world use, user ac... read more
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