Explore more about: Artificial Intelligence, Machine Learning, and Deep Learning

A collaborative NIH-funded team is using AI to mine common chest CT scans to predict mortality. Their research identified a collection of cardiac factors that were predictive of death in a large group of patients, potentially setting the stage for improved cardiac screening.

Artificial intelligence (AI) models that evaluate medical images have potential to speed up and improve accuracy of cancer diagnoses, but they may also be vulnerable to cyberattacks. Researchers simulated an attack that falsified mammogram images, fooling both an AI breast cancer diagnosis model and human breast imaging radiologist experts.

A team led by NIBIB scientists has developed hardware and software innovations to construct super-resolution, 3D confocal images of fine structures in living samples.

NIBIB-funded engineers are using deep learning to differentiate tumor more accurately from normal tissue in positron emission tomography (PET) images.