Saturday , January 22 2022

YES to Display Ancient Outcomes in Predicted Chronic Conditions, Under Diagnosis, from CT Scans Standard


Medical Vision
a Clalit
Health Services
announces the completion of two innovative ones
Research projects that allow patients to identify early with bone
and cardiovascular disease. Use current CT data, Zebra-Meds
Algorithms allow Drop to get to know patients at Osteoporotic risk
cuts and cardiac events Both research projects were independent
has been validated by the Clalit Research Institute and will be submitted for the
the first time during RSNA. Clalit owns 1,500 primary care and operates
clinics and 14 hospitals, including 30% acute care of the Israeli hospital
beds, treating over 4 million patients.

Research # 1: "Automatic evaluation of CT scans for predicting
Osteoporotic Breaks »

One of the most complete Osteoporosis experiments to date, a
retrospective squad 48,227 individuals with abdomen CT
Studies, 50-90 years, were studied over five years from a CT point
Imagine to assess risk factors for a large number of cases a
hip-specific osteoporotic bans. The results showed that a
A combination of Sebra-Med automatic algorithms is equivalent
risk layers compared to the current FRAX scoring system.
In addition, the research showed that adding Zebra-Med is a risk
A score of results achieved by FRAX is higher than just FRAX ones.

Possible Applications: If it is applied regularly to every CT study of
the chest or abdomen, this would immediately remedy osteoporotic risks
cuts per person over 50. This would lead to secondary
working up and possible proxylactic treatment. At present, fewer than 20%
of those at risk are routinely screened but over 66% are regularly maintained
CT studies, which show the dramatic potential to raise awareness
and proxylactic treatment in this growing population. Osteoporosis
Cuts cost $ 18B per annum to the US healthcare system and $ 3B

Time and Venue oral presentation at RSNA: Wednesday,
November 28, 10:30 AM-12:00 p.m., room S104A.

Research # 2: "Incidental CT improves heart disease predictions "

In this research, a five year retrospective cohort study of 14,135
Patients were used with CT untreated, untreated chest, to explore
Zebra-Med automatic coronary cardiovascular power predominant power
calcium scoring algorithm (CCS). Results of prediction performance were
of a comparison between the American Heart Society (AHA) 2013 projection
model (basic model) and the same model as Zebra-Med CCS installed
as an additional predictor (model to add). Addition of
Zebra-Med CCS has improved the sensitivity and specificity of the contemporary
AHA model standard, resulting in accumulation of net 4.5%
improve risk re-distribution. The results indicate that by
including a coronary calcium score that results from untatched CT analysis
scans with Zebra-Med algorithms, significant risk improvements
the distribution is carried out.

Possible Applications: According to the American Heart
Society, in 2016, the CVD cost of $ 555 billion. By 2035, the cost
is converted to $ 1.1 trillion and by 2035, almost half of the U.S.
population will have some form of cardiovascular disease. So the
The relevance of this research finding applies to all studies that are
is performed regularly including the chest CT where there are individuals
and clinicians become aware of the risk layer category for
coronary vascular events over the next 10 years. This insight can lead to
more tailor and preventative therapy.

Time and Venue Oral presentation at RSNA: Tuesday, November
27, 10:30 AM-12:00 p.m., room S104B.

"We're proud of the results of these two innovative research
projects and look forward to their implementation, "he said
Professor Ran Balicer, head of the Clalit Research Foundation. "While there
There is an increasing number of AI applications in imaging, with the aim of imitation
and automates human radiology reading, more is unfinished
Potential in these imaging studies – one can use AI to draw
predictive insights that are not yet available, which support high impact
population health interventions to tackle chronic diseases. "

"As more nations and health providers move towards value based on
healthcare, we are encouraged by these two innovative research
Projects that show AI power and retrospective analysis of
existing scans, "said Eyal Gura, CEO and Co-founder of Zebra Medical
Vision. "The fact that there are a few different AI algorithms
A portfolio was used for these two important population health projects,
emphasizes the need for a wide-ranging AI solution once
and integrates easily to the health system. "

To see more Zebra-Med answers and learn about actual use cases
For your healthcare system, come and visit a Sebra-Med booth at RSNA: Booth
# 7361 North

Check out our blog here.

About the Clalit Research Foundation:

In 2010, Clalit Health Services, Israel were most integrated
established the Clalit Research Institute's employer-employer health system.
The mission of the Clalit Research Institute is to turn data into
decision-making insights that can be translated into policies
transform healthcare provision and clinical practice. For more than
hundred years, Clalit Health Services have been a leading leader in Israel
the largest healthcare organization. Today it serves not-for-profit
an integrated care organization for over four million patients, namely
more than half the country's population. With general healthcare
In Israel, most Clalit members remain concerned
organization for their whole lives (> 95% of five year retention). Clalit
Own and operate 1,500 primary care clinics and 14 hospitals, including
There are 30% of Israeli acute hospital beds, employing almost 35,000
doctors, nurses, pharmacists, paramedics, technicians, a

Learn more about it Clalit
Health Services
. Clalit has also established an integrated
electronic health records database (EHR), includes comprehensive
clinical and administrative data since 2000, and some dating records
back to the beginning of the 1990s. The Clalit Research Foundation reaches that
A database to conduct research that addresses health levels at a population level
Issues that affect the recipients, or that are relevant to them
be in Clalit

About the Zebra Medical Vision:

The Zebra Medical Vision uses deep learning to create and provide next
production and services to the healthcare industry. Imaging it
Platform Analytics provides potential tools for healthcare organizations
Identify patients at risk of disease, allowing them to improve patients
care. Headquarters in Kibbutz Shefayim Israel, the Company was established
in 2014 by Co-founders of Eyal Toledano, Eyal Gura, and Elad Benjamin a
funded by Khosla Ventures, Marc Benioff, Intermountain Investment Fund,
OurCrowd & # 39 ;, Qure, Aurum, Nvidia from Dolby Ventures. For more information
go to

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