MedHub was founded in early 2018 by Or Baruch El and David Goldman, with the aim of helping physicians make more accurate clinical decisions while streamlining their workflow.
Our mission is to make better care accessible and to achieve optimal clinical outcomes. Our goals include decreasing unnecessary therapeutic procedures, patient mortality rate, post-procedure adverse events and shortening procedure time.
Why are we doing it?
We believe that adopting new technologies such as AI and machine learning can enhance the medical field by leading to a more efficient, accurate and better overall care for every patient.
But it doesn’t end there…
Our Second Why: We believe that great care needs to be affordable and accessible for every patient whether he/she has health insurance or not.
Autocath
Autocath, an automated decision support system for interventional cardiologists use.
The Autocath Analysis is the only end to end non-invasive diagnostic tool that aids clinicians in quantifying arterial stenosis to determine whether significant narrowing is present. Autocath facilitates the selection of the most appropriate, effective and evidence-based revascularization strategy
- Autocath
- AutocathIFR
- AutocathIVUS
- AutocathOCT
- AutocathNav
Our Partners.
Regulatory Status
CE aprroval
AMAR aprroval
Founder & CEO
Or Baruch El
Chief Executive Officer
Or Baruch El is a Co-founder and CEO of MedHub.
He is responsible for the overall strategy, direction, and vision for MedHub. Or ran over the past 5 years several companies in a variety sectors such as real-time VR video platform for training of physicians and healthcare-providers (VRMS) and a platform for distribution of video contents (Scallopress).
As MedHub’s CEO since 2018 Or has developed close relationships with clinical and business leaders in the Cardiology field and leads partnerships and investor relations. He is also an active contributor to MedHub’s science and engineering teams, with a particular focus on automatic medical image analysis.
Or set a goal to sacrifice each moment and effort of his life in order to transform the way we access and receive healthcare. Or is committed to putting all his energy to ensure optimum benefits to Medhub customers and shareholders.
Founder & COO
David Goldman
Chief Operations Officer
David Goldman is a Co-founder and COO of MedHub.
He brings over 7 years of experience in analyzing markets, accounting and creating business models. David served in IDF’s intelligent unit where he has acquired his experience in decoding and image processing technology. After his Economics and Business studies, he worked in one of the biggest metal industry companies and was a co-founder of VRMS, that provided a virtual reality solution in the healthcare field. His enthusiasm for technology, especially in AI and big data, along with the knowledge of markets research drove him to take part in something that fuses these interests.
“MedHub allows me to engage some of my passions: cutting edge technologies and creation of new unique business opportunities.”
The Team.
CTO
Technology R&D
Algorithm Developer
Algorithm Developer
Algorithm Developer
Data Annotator
Data Annotator
Data Annotator
Chairman of board
Prof. Rafael Beyar
Rafael Beyar, MD, DSc, MPH, and Professor of Medicine and Biomedical Engineering, is the former director of Rambam Health Care Campus. Beyar received his MD from Tel Aviv University (1977), a DSc from the Technion (1983), and his MPH from the Bloomberg School of Public Health (2008). He trained at Johns Hopkins Cardiology and has held a visiting Professor appointment there. Beyar served as Dean of the Technion’s Ruth & Bruce Rappaport Faculty of Medicine (1999–2005); under his leadership, Professors Avram Hershko and Aaron Ciechanover were awarded the Nobel Prize in Chemistry in 2004. An interventional cardiologist with research focusing on cardiovascular engineering, development of stents, and the first robotic coronary catheterization system, Beyar has authored numerous publications, several patents, 15 books, and is a recipient of several awards.
ADVISORY BOARD
Prof. Amir Lerman
Professor of medicine and a consultant in the department of cardiovascular diseases at Mayo Graduate School of Medicine. Dr. Lerman serves as an associate chair of the Department of Cardiology and the director of the cardiovascular research center at Mayo Clinic and the medical director of the Mayo-Israeli initiative
Prof. Ariel Roguin
Director Hillel Yaffe Medical Center’s Cardiology Division, held a research and interventional cardiology fellowship at Johns Hopkins Medical Center in Baltimore, USA. Prof. Roguin also holds a PhD in medicine (angiogenesis) and he is an expert in the treatment of stenosis and obstruction of the coronary arteries. He focusses particularly on high-risk patients and during a heart attack. He has published over 200 academic articles. In the recent years, he served as Director of the Invasive Cardiology Unit at Rambam Medical Center in Haifa.
Dr. Yair Feld
Dr. Feld completed his internship and residency in internal medicine at Rambam Health Care Campus as well as a Cardiology fellowship at the same institution. During this period he founded Paragate Medical that develops a dedicated device for fluids removal in patients with heart failure and diuretic resistance. He then spent a two-year fellowship in Interventional cardiology at the University of Toronto. Currently, he holds the position of senior interventional cardiologist and head of Rambam innovation lab.
Dr. Edward Koifman
Senior interventional cardiologist at Soroka Medical Center in Beer Sheva.
Natanel Davidovits
Natanel is a seasoned algorithm & AI researcher, with over 10 years of industry experience. His expertise includes bottom-up R&D of innovative large-scale projects of classical and deep-learning computer-vision, natural-language-understanding, recommendation-systems, data-science, multi-physical systems modeling, and optimization. Before joining MedHub, Natanel had led early-stage startup teams through initial research up to innovative enterprise solutions, for tomorrow’s advances in AI.
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