Zebra Medical Vision
AI-based Medical Imaging Diagnosis

“Every cloud has a silver lining” is what succinctly portrays the story of Eyal Gura. It all started with a scuba diving accident at Mexico for Gura. The multiple x-rays that ensued and the time taken for interpretation proved to be an eye opener for the then CEO of PicScout, a company providing image intelligence insights for the stock photography market. It set me thinking, he says, “What if I can utilize my eight analog x-rays and millions of pre-diagnosed ones to get a better diagnosis leveraging my years of experience in the image processing domain.” This was the genesis of Zebra Medical Vision.

Gura draws attention to the current radiology ecosystem that is fraught with poor quality and lengthy timeframes to get the right diagnosis and regulatory barriers among others. It takes many years to become an expert in radiology and coupled with the lack of sufficient radiologists, the quality and consistency of diagnosis oftentimes take a beating. “The need of the hour is an AI-based medical imaging service to enhance the capabilities of radiologists and produce an effective diagnosis, without compromising patient care,” remarks Gura. “While software can run irrespective of hours or the number of patients, doctors cannot perform in that manner.”

Zebra Medical Vision revolutionizes the healthcare industry with its state-of-the-art AI1 offering, which helps radiologists manage the ever-increasing workload without compromising on quality. “We are collaborating with several large healthcare groups, which has given us secured access to large datasets to train AI for specific image recognition tasks,” he explains.
Zebra’s radiology systems are fully equipped with state-of-the-art technology and run on a vendor agnostic framework. Since all of Zebra’s systems are in the same DICOM format, it makes the onboarding process very easy. The AI1 solution connects with a hospital’s PACS infrastructure on-premise and automatically analyzes the images for a number of different clinical findings, which are then delivered to radiologists securely to manage the ever-growing workloads.

Being in possession of a large amount of imaging data has worked to the company’s advantage. Gura takes pride in his astute and knowledgeable team that is able to design algorithms and alleviate some of the most complex challenges in the radiology domain. This is done through a combination of data science and research that literally changes the game. “We are at a stage where we have more algorithms than team members,” quips Gura.

We are at a stage where we have more algorithms than team members

A case in point is of the Oxford University Hospitals in the UK, where Zebra proved its mettle. The hospital had deployed a prevention program to identify patients at risk of osteoporosis, a disease in which patient’s bones deteriorates over time. Osteoporosis may prove to be a silent killer, if not diagnosed on time. With Zebra’s high- performance algorithms, the hospital was able to predict bone fractures of the patient from the imaging data quickly and save money of costly future treatments in the process.

Currently, the company markets their AI1 offerings in Europe, Latin America, and India. With the recent FDI approval for one of their algorithms, Zebra is all set to market their products in the U.S. The Zebra team’s plans include the deployment of their myriad lab created algorithms into a fully regulated healthcare environment.

As the shift over to AI gains momentum, Gura underlines the fact that a majority of radiologists and the business fraternity are definitely in favor of AI as an enabler to being more accurate and productive. Zebra Medical Vision is spearheading this paradigm shift by empowering radiologists and physicians with the power of AI to provide more comprehensive and accurate diagnosis and in turn better healthcare outcomes.