Artificial intelligence and machine learning have transformed how we process information, make decisions, and solve complex problems. Behind every ...
Integrating deep learning in optical microscopy enhances image analysis, overcoming traditional limitations and improving ...
A deep learning model using retinal images obtained during retinopathy of prematurity (ROP) screening may be used to predict diagnosis of bronchopulmonary dysplasia (BPD) and pulmonary hypertension ...
Machine learning holds great promise for classifying and identifying fossils, and has recently been marshaled to identify trackmakers of dinosaur ...
South Korean innovator JOODOC introduces an AI-driven “Medical Self-care Solution” bridging professional clinic care and ...
The trend toward thinner devices with higher-fidelity audio presents significant challenges for core acoustic components. At CES 2026, Goertek showcased new SPK (micro-speaker) platforms, MEMS ...
aDepartment of Medical Ultrasonics, Affiliated Shenzhen Children's Hospital, College of Medicine, Shantou University, No. 7019 Yitian Road, Shenzhen, China bShenzhen University Medical School, ...
With what appears to be an extra finger on his right hand and no actual arrow in his bow, the man featured in the Department of Energy and Environmental Protection‘s Facebook post did not look like ...
Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Figure 1 illustrates the overall workflow of the hyperspectral ...
ABSTRACT: Magnetic Resonance Imaging (MRI) is commonly applied to clinical diagnostics owing to its high soft-tissue contrast and lack of invasiveness. However, its sensitivity to noise, attributable ...
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