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

In recent years, artificial intelligence (AI) has been recognized as a powerful tool in the field of medical imaging. However, these models can be subject to several biases, leading to inequities in how they benefit both doctors and patients. Understanding these biases and how to mitigate them is the first step towards a fair and trustworthy AI. Source: SPIE

Doctors at the University of Florida Health Center are using artificial intelligence to help monitor their patients. The findings will help them develop algorithms that will soon provide real-time health care recommendations. NBC News’ Dr. John Torres on the future of technology in healthcare. Source: NBC News

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.