When doctors review brain scans, each detail of the picture—each pixel or voxel—must be painstakingly labeled. The cerebral cortex, hippocampus, ventricles, and other structures all need to be marked ...

AI algorithms analyse complex medical images with speed and precision, supporting early disease detection.Radiology and ...

A medical image denoising method based on principles of quantum mechanics outperform machine learning, statistical methods, and neural networks. The same approach could aid quantum computing ...

At the intersection of AI and medical science, there is growing interest in using machine learning to enhance imaging data captured by magnetic resonance imaging (MRI) technology. Recent studies show ...

Tyche is a machine-learning framework that can generate plausible answers when asked to identify potential disease in medical images. By capturing the ambiguity in images, the technique could prevent ...

For many people, the rise of artificial intelligence–generated images has sparked anxiety—about misinformation, deepfakes and the blurring line between what's real and what's not. But in the world of ...