AI medical imaging market is projected to exceed $20B by 2035. Generative models address class imbalances in medical imaging ...

Deep learning has transformed remote sensing, driving state-of-the-art results in land use and land cover classification, ...

In this interview, AZoLife Sciences speaks with Boyd Butler, a microscopy and high-content screening expert at Molecular ...

Researchers have developed a new "emotionally aware" AI-based model for classifying mental health conditions, which could ...

Handheld imaging device combines advanced optics with deep learning to enable early detection of epithelial cancers ...

A three-stage pipeline progressed from slit-lamp image training to smartphone optimization and public self-capture, incorporating human-computer interface refinements and preprocessing to improve real ...

A neural network image analysis method will help track the movement of microparticles in the Earth's atmosphere and space.

Chinese Scientists Use Digital Twins to Streamline AI Training on Light-Based Systems ...

Synthetic data is a vital substitute for real sensitive personal data in supporting social science research and policy ...

Precision neurostimulation leverages AI and closed-loop feedback, delivering tailored treatments for neurological disorders ...