About the Company

Inteneural Networks Inc. is a Chicago-based medical high-tech company, specializing in Artificial Intelligence and Big Data Learning analysis of brain imaging supported by a well-financed US fund, and aspiring to revolutionize brain diagnostics.

Inteneural is the developer and owner of proprietary intellectual property that allows computers to autonomously segment and identify neural structures in medical images and rapidly deliver reference information using machine learning alogrithims. These algorithms have potential for future applications in cranial and neurosurgery for tumor, aneurysm, stroke, neurovascular structures, and deep brain stimulation using existing imaging technology.

It was founded in 2017 by experienced scientists and high-tech investors: A pioneer in Data Mining and Big Data Learning – Professor Paul Lewicki PhD and a neuro-surgeon who specializes in high-tech spine diagnostic and surgical applications - Kris Siemionow MD, PhD. The headquarters and one R&D center are located in the US (Chicago), the other R&D center is in Poland (Poznan).

Our goal is to achieve technological breakthroughs but also to “change the world into a little better place” by making high-end diagnostic procedures not only inexpensive but also widely accessible remotely to the majority of the world population - and especially to people who currently have no access to advanced medical procedures (who represent a vast majority).

In its current form, the Inteneural analytics application (CompareMRI.com) is not intended to serve as a stand-alone “brain web-doctor” that would provide final medical diagnoses (Inteneural Inc. is in the process of working on the FDA and CE Mark certifications), but to provide a valuable, minute-detail-based reference for doctors, saving them time and increasing the accuracy and insightfulness of their diagnoses.

Those reference interpretations provided by the Inteneural application are statistically anchored in existing diagnostic data and can be easily submitted for in-depth validations by neuro-radiologists.