Hyperfine envisions Magnetic Resonance Imaging (MRI) systems that are portable – able to generate images in places never thought possible. Imagine MRI directly at the bedside - no need for a shielded room. The system can operate wherever there is a power outlet. Acoustic noise levels tolerable by any patient or bystander. MRI at the Point of Care, where meaningful decisions can be made on the spot.
Hyperfine is on a path to change the MRI accessibility paradigm. MRI is the most informative imaging modality. But only a fraction of patients around the world can actually benefit from MRI today, and 4.7 billion people cannot. MRI systems are expensive and require complex infrastructure and sophisticated personnel support. Hyperfine’s mission is to make MRI accessible to every patient regardless of income or resources. Anywhere, anytime.
Hyperfine is reinventing MRI technology – by using computing power, not electrical power. We leverage innovations in green electronics to design MRI systems that are far lighter and far less power hungry, at unheard of price points. The result? Making MRI affordable on an unprecedented level – globally.
Hyperfine is about simplicity. Making a good MRI image requires in-depth training, and is more difficult than it has to be. Taking the collective experience of the best MRI scientists and creating optimized parameters for all relevant contrasts into downloadable files significantly lightens the load for MRI training. Playlists of sequences can be downloaded from the cloud. MRI data sets can be uploaded to the cloud, ready for the next available teleradiology consultation.
Hyperfine is about kindness and caring. When you get an MRI, it can be scary. But it does not have to be that way. Your child or a critically ill loved one might want your soothing presence when scanned. Wouldn’t you feel more comfortable as well? Seeing someone you care about disappear in the dark bore of any old MRI no longer needs to be the case.
Hyperfine applies state-of-the-art machine learning methods to create and annotate mage that even novices can interpret. When a clinician corrects an analysis, the instrument learns and improves with each use. And images can be analyzed in the cloud, bringing telemedicine to low-resources settings around the world.