Explore more about: Artificial Intelligence

Artificial intelligence can speed the development of 3D-printed bioscaffolds that help injuries heal, according to researchers.

NIBIB-funded researchers at NYU Langone Health worked with Facebook AI researchers to develop a method to speed up MRI scans.

NIBIB-funded researchers have developed a way to use artificial intelligence to speed up MRI imaging without sacrificing quality.

The National Institutes of Health has launched an ambitious effort to use artificial intelligence, computation, and medical imaging to enable early disease detection, inform successful treatment strategies, and predict individual disease outcomes of COVID-19.

Scientists at NIBIB have developed new image processing techniques for microscopes that can reduce post-processing time up to several thousand-fold.

NIBIB-funded researchers at Stanford University have created an artificial neural network that analyzes lung CT scans to provide information about lung cancer severity that can guide treatment options.

Medical physicists at the Mayo Clinic have just made a unique library of computed tomography (CT) data publicly available so that imaging researchers can study, develop, validate, and optimize algorithms and enhance imaging hardware to produce peak-quality CT images using low radiation doses.

Bioengineers have combined standard microscopy, infrared light, and artificial intelligence to assemble digital biopsies that identify important molecular characteristics of cancer biopsy samples.

QuantX backstops radiologists with AI-enabled software that analyzes MRIs to confirm or challenge their diagnosis.

A new deep learning technique constructs better macroscopic medical images of cells and tissues at ultra-fast speeds.