Accurate segmentation of medical images is essential for clinical decision-making, and deep learning techniques have shown remarkable results in this area. However, existing segmentation models that ...

For example, a Convolutional Neural Network (CNN) trained on thousands of radar echoes can recognize the unique spatial signature of a small metallic fragment, even when its signal is partially masked ...

Artificial intelligence (AI) electrocardiogram (ECG) data are promising for early detection of chronic obstructive pulmonary disease (COPD).

An AI-powered model that analyzes electrocardiograms was able to accurately detect COPD early in internal testing and ...