Enlitic is a startup with a bold idea to use deep learning technology to help doctors analyze images such as X-rays, MRIs and CT scans. Founded by Jeremy Howard, the company is building solution that will assist doctors spot hidden trends and anomalies in medical images as they diagnose patients.

The process involves training systems called artificial neural networks on information derived from audio, images, and other inputs and then presenting the system with new information and receiving inferences about it in response.

Enlitic will plug into systems medical institutions already use to share or view medical images.“The process of diagnosing you at least could be based on the approach of analyzing past data sets of analyzing similar cases and so forth,” Howard said in an interview with VentureBeat.

Enlitic on its end will plug into systems medical institutions already use to share or view medical images, whereas researchers could annotate images and look for similar elements in other data.

Sounds like something from a sci-fi movie and the entire [deep learning] market is, unsurprisingly, attracting small and big companies alike. IBM and Google are one of those looking into this tech but have yet to show how they can make the healthcare better.

Meanwhile, Enlitic employs three senior data scientists with deep experience in computer vision, which makes it a solid acquisition target. Howard, however, notes that Enlitic isn’t something he hopes to be doing in the next two years. “This is actually a 20 year plan for me,” he said, hinting his company is not yet another startup looking for a big exit.