Zebra Medical Vision pens AI diagnostic marketplace pact with Nuance

Zebra Medical Vision has teamed up with Nuance for an “all-in-one” bundle of artificial intelligence products on its marketplace.

Zebra Med, which describes itself as a “deep-learning medical-imaging analytics company,” will use the Nuance AI Marketplace (which offers access to a range of AI diagnostic models in an App Store form) from within a radiology reporting platform.

Zebra (also a 2016 FierceMedTech Fierce 15 winner) will offer on this marketplace, for a fixed annual fee, its AI1 “all-in-one” bundle, “including access to an ever-growing number of AI solutions, integrated into radiologist workflow,” the Israeli firm said in a statement.

Its AI platform is set up to analyze millions of clinical images in real time, detecting various medical indications, and can then alert medical professionals in hospitals and clinics.

RELATED: Zebra Medical to offer AI-based image analysis on Google Cloud

Zebra’s AI-based image analysis system is already in use in dozens of hospitals worldwide. The algorithms are trained on an anonymized database of medical images and clinical data to be able to spot certain markers in imaging.

Back in 2017, it penned a deal with Google Cloud to help store clinical images from CT scans, for instance, on the tech giant’s cloud platform, lessening the burden of keeping them locally.

“We are thrilled that our software will now be available on the Nuance AI Marketplace,” said John LoGioco, chief commercial officer of Zebra Med.

“This collaboration will give us maximum exposure on one of the largest and most reputable portals, with one-stop access to a wide range of AI diagnostic models. Our work with Nuance will enable Zebra-Med’s products to impact the health of many more patients, through the industry’s most widely used radiology reporting platform.”

Speaking to FierceMedTech earlier this year about its broader mission, Zebra Med's Eyal Gura, its co-founder and chairman, said ahead of the MIXiii-BIOMED conference in Tel Aviv: “The vision remains the same: To automate as much of radiology because half of the world’s population is in places where they are deprived from radiology expertise.

“They don’t dream to get the type of diagnostics and healthcare we can get even in the developed world you have issues of an aging population and 2 billion people that are joining the middle class and that requires a lot of medical treatments and imaging scans.

“Currently you don’t have enough doctors to do it so the more we will be able to train computers to diagnose findings and scans and do it automatically and accurately, the more help and time we can bring to radiologists so they can be 3x more efficient, maybe one day 10x more efficient and then they will see a situation – like commercial airline pilots – they are still there but they don’t need to do 90% of the tedious things they used to do 10 years ago because computers are helping them.”