Combining gait, handwriting, and speech analysis, this AI framework enhances early Parkinson's disease detection, addressing clinical challenges effectively.

The startup’s software-as-a-medical (SaMD) determines a predicted delivery date solely from standard ultrasound images.

Abstract: This research explores a deep learning-based approach to sports image classification using four convolutional neural network (CNN) models: VGG-16, VGG-19, Xception, and EfficientNetB7. The ...

Microsoft researchers have developed On-Policy Context Distillation (OPCD), a training method that permanently embeds ...

ChatGPT accurately classifies foods by processing level and detects ultraprocessed items, which may help automate and improve ...

Researchers from the University of California, Los Angeles (UCLA) have developed a chemical imaging system that combines high-performance terahertz time-domain spectroscopy with advanced deep learning ...

WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") ...

Li and colleagues developed a deep-learning model to analyze EEG recordings and detect event-level EEG spikes. 2. The model achieved high accuracy and a low false-positive rate, with only 32% of human ...

Beijing, Feb. 06, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...

Colorectal cancer is responsible for a high proportion of cancer mortality. The most effective way to avoid colorectal cancer is to have a colonoscopy. However, not every polyp in the colon is prone ...

A dataset of 673 CT images from patients admitted between March 2013 and May 2023 was collected and classified according to the European Vertebral Osteoporosis Study Group (EVOSG) system. Of these, ...