By: Eyal Gura, CEO.
Zebra just turned five years old and there is only one week left of 2018. This presents a great opportunity to reflect and appreciate the journey we are all part of. The year started strong as Zebra was named as one of FastCompany’s most innovative AI startups.
Continue reading “2018 was great… Now we can’t wait for 2019 to start !”
By: Yaron Blinder PhD, Senior Product Manager for X-ray products at Zebra-Med.
Radical AI was founded in 2017 to develop high impact, deep learning-based solutions for radiology workflow. When analyzing unmet needs in the field, a few key points quickly became clear – first and foremost, that radiology as a specialty is undergoing a real crisis. With an estimated 5 billion exams (and rising) currently performed annually worldwide, less than 10 radiologists per 100,000 patients (first-world average!), and the long, expensive process required to train new radiologists, the need for AI assistance is urgent. This is especially true considering half the world’s population has no access to radiology services at all.
Continue reading “Radical AI joins Zebra-Med”
By: Dr. Eldad Elnekave, CMO.
When launching Zebra Medical Vision, we knew we had a talented team, immense imaging data and enough computational power to prove the potential of AI for the next generation of radiologists. The potential was endless, which was problematic.
Continue reading “RSNA 2018 here we come!”
By: John LoGioco, CCO.
Our team here at Zebra Medical Vision was proud to support local high school athletes by sponsoring the Rumson Boat Race, held in Rumson New Jersey. Proceeds from the event help support the boys and girls crew teams from the local high school, Rumson Fair Haven.
Continue reading “Supporting Student Athletes From Rumson Fair Haven High School”
By: Elad Benjamin.
Four years ago I joined Zebra, then just starting out, as a third co-founder. The dream that attracted me to join the two Eyal-s was (and still is) very big – to create a software product capable of automatically reading and diagnosing imaging data. Since then we have grown our team to 40 strong, created one of the largest imaging databases in the world and developed products that can automatically identify liver, lung, cardiovascular and other conditions.
Continue reading “Passing The Baton”
By: Jonathan Laserson, PhD. Lead AI Researcher
At Zebra-med we set out on a long journey to create an automated radiology assistant – to help radiologists become more efficient and enable them to take care of many more patients. With 2 billion people joining the middle class worldwide and a growing global shortage of clinical experts, there is a sense of urgency to develop technology which can help bridge the gap between supply and demand of radiology services – technology such as the one I’ll discuss here. Continue reading “TextRay: Mining Clinical Reports to Gain a Broad Understanding of Chest X-rays”
By: John LoGioco, CCO.
The common rhetoric around AI and medical imaging is that AI technology will eliminate jobs. However, as AI technology starts to be implemented within clinical workflows the introduction of new technology will likely create more opportunities for employment in the near term. This is evident in the bone health sector, specifically within how Fracture Liaison Services (FLS) programs are being executed.
Continue reading “Predicting job creation and positive ROI for AI in the Bone Health Sector”
As 2017 draws to a close, I wanted to share this past year’s highlights with all of you, who have been supporting us since we started our journey of providing high-quality, accessible imaging analytics for everyone.
Continue reading “2017 – A Year In Review”
By: Elad Benjamin
As we get ready to head out to the annual Radiology Society of North America (RSNA) conference, we’re excited to be profiled in their new Machine Learning Showcase along with our two partners, Google and Carestream. Even more so, the team here at Zebra Medical Vision is feeling very fortunate that so many partners have already come forward to integrate our technology into their PACS viewers.
Continue reading “A Thank You To Our Partners in Healthcare”