Facebook and NYU School of Medicine’s Department of Radiology are putting their heads together to determine they ways artificial intelligence can speed up magnetic resonance imaging (MRI) scans with a new project called fastMRI, reports MedCity News.  

Usually, scanners gather raw numerical data and turn it into cross-sectional images of internal body structures. When more data has to be captured, the scan takes longer. Overall, the scan can take anywhere from 15 minutes to more than an hour. But by deploying AI, the organizations hope to gather a smaller amount of data and therefore scan faster.

NYU School of Medicine collected the data that will be used in fastMRI. It includes 10,000 clinical cases and comprises about three million images of the liver, knee, and brain. The work is HIPAA-compliant, and patient names and other PHI have been removed from the data. No Facebook information will be used.

Though the initial goal is to make MRI scans up to 10 times faster, officials at the social media giant and renowned medical school believe their work could also impact other medical imaging applications like CT scans.

Get the full report at MedCity News.