Until today, skin, brain, and all tissues of the human body were difficult to observe in detail with an optical microscope, since the contrast in the image was hindered by the high density of their ...

Artificial intelligence has exploded in popularity in recent years, and many proponents are excited about its potential uses in medicine: for example, processing samples quickly or identifying markers ...

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 ...

Heart disease remains the leading cause of death worldwide, and although electrocardiography (ECG) is critical for diagnosis, interpreting ECG signals requires extensive training. Current machine ...

Researchers at Beijing Institute of Technology (BIT) have developed an innovative method to convert near-infrared (NIR) images into visible RGB images. The study, titled "Grayscale-Assisted RGB Image ...