Hyperfine developed highly portable MRI system that wheels directly to the patient’s bedside, plugs into a standard electrical wall outlet, and is controlled via a wireless tablet such as an Apple iPad. I started building out the machine learning competency when we were 6 employees and had first imagages from the scanner. I now lead the deep learning team to advance image reconstruction and interpretation of MR images. You know you are lucky when you work with incredibly talented team that always remembers to have fun. Recent result from our lab: Deep learning reconstruction of a T2 scan from a portable MRI system and a conventional 1.5T scan. Absence of shielded room, lower field strength, and simpler electronics are compensated for by a smart computational imaging pipeline.

Butterfly built a handheld ultrasound device that plugs into an iPhone, costs under $2000, and sends data for review and reporting. Collecting data with the first handful of prototype probes, our team worked on tools for image acquisition assistance and image interpretation. It is inspiring to see the team relying on modern software tech stack and always pusing the boundaries of what's possible in all key areas of the company.