Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...
Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive ...
The 2025 SANS SOC Survey shows AI use is rising, but many SOCs lack integration, customization, and clear validation ...
This important study combines optogenetic manipulations and wide-field imaging to show that the retrosplenial cortex controls behavioral responses to whisker deflection in a context-dependent manner.
A research team has developed a new model, PlantIF, that addresses one of the most pressing challenges in agriculture: the ...
Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...
Data collected under the Death in Custody Reporting Act has some serious problems. Here’s how we fixed some of them.
Overview ChatGPT automation helps reduce repetitive work by turning prompts into automatic actions across apps and systems.Beginners can start with no-code tool ...
Abstract: As one of the core tasks in vision recognition, image classification is widely used in various scenarios. Most existing mainstream image classification models use the Convolutional Neural ...
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