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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.

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.

Bioengineers have created a blood-drawing robot that performed as well or better than technicians. The device could increase blood draw success from difficult- to-find veins and allow healthcare workers more time to treat patients.

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

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

Scientists developed hardware and software to monitor and remotely control their liver- and heart-on-a-chip systems using Google Glass wearable technology.

The U.S. Food and Drug Administration (FDA) has given clearance to market and sell the powered lower-limb exoskeleton created by a team of Vanderbilt engineers and commercialized by the Parker Hannifin Corporation for both clinical and personal use in the United States.

Scientists have created the first robotically driven experimentation system to determine the effects of a large number of drugs on many proteins.