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AI show promising results in predicting chronic, under-diagnosed conditions from standard CT analysis Business

SHEFAYIM, Israel – (BUSINESS WIRE) – November 20, 2018 – Zebra Medical Vision ( and Clalit Health Services announce the end of two revolutionary research projects that allow early identification of bone and cardiovascular disease patients . Using existing CT data, Zebra-Med algorithms allow Clalita to recognize patients with a risk of osteoporotic fractures and cardiac events. Both research projects were independently validated by Clalit Research Institute and will be presented for the first time during RSNA. Clalit owns and manages 1,500 primary health care clinics and 14 hospitals, including 30% of Israeli hospital beds for acute illness, treatment of over 4 million patients.

Zebra Medical Vision and Clalit Health Services release the results of two revolutionary AI research projects (Photo: Business Wire)

Research # 1: "Automatic CT scan estimation for predicting osteoporotic fractures"

One of the largest osteoporotic experiments so far has been a retrospective group of 48,227 persons with abdominal CT studies aged 50-90 during five years of CT scan to assess the risk factors for the prevalence of major and hip-specific osteoporotic fractures. The results showed that the combination of automatic Zebra-Med algorithms achieves the same risk resolution as compared to the contemporary FRAX score system. In addition, research has shown that the addition of Zebra-Med's risk score to FRAX has achieved more than FRAX results.

Potential Applications: If routinely applied to all CT studies on the chest or abdomen, it would immediately increase the risk of osteoporotic fractures for all individuals over 50 years of age. This would lead to secondary treatment and possible prophylactic treatment. Currently, less than 20% of those exposed to risk are subjected to routine screening, but more than 66% are subjected to routine CT studies that illustrate dramatic potential for increased awareness and prophylactic treatment in this growing population. Osteoporosis fractures cost $ 18 billion a year in the US health care system and $ 3 for the UK NHS.

Time and place of oral presentation in RSNA: Wednesday, 28 November, 10:30 AM-12: 00PM, room S104A.

Research # 2: "Incidental CTimproves Prediction of Heart Disease"

In this study, a five-year retrospective cohort study of 14,135 patients with uninsulated, unbalanced chest CT was performed in order to examine the cardiovascular predictive power of the automatic coronary calcium algorithm (CCS) Zebra-Med. The predicted results were compared between the proposed model of the American Heart Association (AHA) 2013 and the basic model with Zebra-Med's CCS introduced as an additional predictor (enhanced model). The addition of Zebra-Med CCS improved the sensitivity and specificity of the modern AHA gold model, which resulted in an 4.5% reclassification risk category increase. The results indicate that by incorporating the coronary calcium result obtained by analyzing non-armored CT scans with Zebra-Med's algorithms, significant improvements in risk classification are achieved.

Potential Applications: According to the American Heart Association, in 2016, CVD stood America $ 555 billion. By 2035 the price will rise to $ 1.1 trillion, and by 2035 almost half of the US population will have some form of cardiovascular disease. Therefore, the relevance of this finding for research is covered by all routine-based studies, including CT in the chest, where individuals and clinicians become aware of the risk categories for stratification for coronary vascular events over the next 10 years. This insight can lead to customized and preventive therapy.

Time and place Oral presentation in RSNA: Tuesday, 27 November, 10:30 AM-12: 00PM, room S104B.

"We are pleased with the results of these two research projects that are constantly being complemented and are looking forward to their realization," said prof. Ran Balicer, head of the Clalit Research Institute. "Although there is an increasing number of AI applications in the image, with the intention of imitating and automating reading of a human radiologist, there is a greater untapped potential in these survey researches – AI can be used to extract predictable notions that are now unavailable, supporting the high impact of population health intervention in fighting chronic diseases. "

"As more people and health services are moving toward value-based healthcare, they encourage us these two innovative research projects that demonstrate AI power and retrospective analysis of existing scans," said Eyal Gura, CEO and co-founder of Zebra Medical Vision, "Fact that several different algorithms for AI from our large portfolio have been used for these two major healthcare projects, stresses the need for a comprehensive AI solution that can be installed and integrates smoothly into the healthcare system. "

To see more solutions for Zebra-Med and learn more about the real cases of using your health system, visit Zebra-Med's booth at RSNA: Booth # 7361 North.

About Clalit Research Institute:

In 2010, Clalit Health Services, the largest Israeli integrated healthcare provider system, founded the Clalit Research Institute. The Clalit mission of the research institute is to turn data into decision-making insights that can be translated into policies for transforming healthcare delivery and clinical practice. More than a hundred years Clalit Health Services is the leading and largest health organization in Israel. Today, it serves as a nonprofit organization for integrated care for more than four million patients, which is more than half the population of the country. With comprehensive health insurance in Israel, most Clalit members remain covered by the organization for their entire lives (> 95% of the five-year retention). Clalit owns and manages 1,500 primary health care clinics and 14 hospitals, including 30% of Israeli hospital beds, and employs nearly 35,000 doctors, nurses, pharmacists, paramedics, technicians and administrators.

Learn more about Clalit Health Services. Clalit also established a database of Integrated Electronic Health Records (EHR), which consists of comprehensive clinical and administrative data since 2000, and some records dating back to the early 1990s. The Clalit Research Institute approaches the database for conducting research that deals with population-related health issues affecting or relevance to clitoral care members.

About Zebra Medical Vision:

Zebra Medical Vision uses deep learning to create and provide a new generation of healthcare products and services. Its image analysis platform provides healthcare tools to potentially identify disease-risking patients, enabling them to improve patient care. Headquartered in Kibbutz Shefayim Israel, the company was founded in 2014 by co-founders Eyal Toledano, Eyal Gura and Elad Benjamin, and is funded by Khosla Ventures, Marc Benioff, Intermountain Investment Fund, OurCrowd, Qure, Aurum, Nvidia and Dolby Ventures. For more information visit

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Copyright Business Wire 2018.

PUB: 20/20/2013 12:04 PM / DISC: 20/20/2013 12:04 PM

Copyright Business Wire 2018.

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