EEG or electro encephalography is so far one of the most reliable means used to detect the onset of drowsiness and sleep ...

The researchers claim despite cutting energy consumption, there is no impact on the performance of AI applications. However, ...

Researchers have developed a deep learning-based approach that significantly streamlines the accurate identification and ...

A “deep learning” artificial intelligence model developed at Washington State University can identify pathology, or signs of ...

A "deep learning" artificial intelligence model developed at Washington State University can identify pathology, or signs of disease, in images of animal and human tissue much faster, and often more ...

A unique combination of explainable AI and repurposing animal camouflage detection algorithms can identify human brain cancer ...

In a recent article, researchers explored the integration of endoscopic optical coherence tomography (OCT) with deep learning ...

However, these methods are time-consuming, costly, and require specialized knowledge to parse the data. In recent years, the rapid rise of deep learning techniques, especially models such as ...

Wheezing, a high-pitched whistling sound, is a common indicator of chronic respiratory diseases, including asthma and chronic obstructive pulmonary disease (COPD), due to inflammation and ...

Multi-sequence knee magnetic resonance imaging (MRI) is an advanced non-invasive diagnostic method for knee pathology. However, MRI interpretation is highly time-consuming and heavily dependent on ...