• Welcome to MaxQ-AI, formerly known as MedyMatch.

    MaxQ-AI reflects a new day in the company’s journey in bringing artificial
    intelligence based clinical applications to the healthcare marketplace.
    Healthcare is at an inflection point, at a “MaxQ” (a point of maximum pressure)
    - we must find new ways to cost effectively deliver the healthcare needed by
    billions of people around the world.

    Please join MaxQ-AI as we lead the mission into the future of healthcare.

  • MaxQ-AI receives
    breakthrough device
    designation from the FDA

    to accelerate market
    access for intracranial
    hemorrhage software.

  • MaxQ-AI announces latest
    partnership with GE
    Healthcare to globally
    distribute deep learning
    clinical decision support
    with major player
    in healthcare.

  • IBM Watson Health to integrate
    MaxQ-AI technology into cognitive
    imaging offerings to help doctors
    identify head trauma and stroke.

  • Samsung NeuroLogica and
    MaxQ-AI Technology announce
    strategic alliance to bring “A.I. to
    the curbside”


We’re creating a new category of ARTIFICIALINTELLIGENCE-driven diagnostic tools. Leveragingthe richness of 3D imaging, the breadth ofpatient-specific data, and other relevant data,concurrently, our goal is to deliver precise clinicaldecision support directly to the physician at thepatient’s bedside


Our acute imaging artificial
intelligence engine leverages deep vision and
cognitive analytics to
compare billions of data
points to immediately
identify the most rare,
long-tail anomalies invisible
to the human eye, as easily
as the most common
conditions. The result is
acute emergency room
treatment rather than
life-long management
of chronic conditions.


Transforming Healthcare Through Deep Vision and Actionable Decision Support


Our goal is to deliver A.I. based patient specific, clinical decision support applications to improve quality, outcomes and reduce healthcare costs. To accomplish this, we consider all the multidimensional patient data; raw imaging concurrently with other relevant patient data at the leading edge of machine learning technologies. We want every physician to be a life-saving expert, every time. This is what drives us forward every day.

The Problem –
Misdiagnosis Rate

Despite the introduction of more modern diagnostic techniques and of intensive and invasive monitoring, the number of missed major diagnoses has not essentially changed over the past 20 to 30 years”. Studies have shown between 30% of all medical imaging diagnoses are incorrect and 80% of those errors are perceptual errors that are present but go unnoticed by the human eye.

Our Foundation: A.I. and
The Team

MaxQ-AI is a company founded in Deep Learning and Machine Vision (‘Deep Vision’). Our team of artificial intelligence, deep learning and machine vision experts with our world class clinical partners are innovating at the confluence of deep clinical know-how, machine vision and learning to yield unprecedented insight into unstructured medical data.


The Cost of Stroke: Stroke is currently the 4th leading cause of death, the #2 killer in the world and the #1 cause of adult disability. Per the American Heart/Stroke Association forecast for 2030, there will be 3.4 million stroke victims predicted, generating $240 billion in total direct and indirect costs

The Path forward

Our intent is to continue to reapply our A.I. platform capability to new and diverse clinical problems with interest in continuing to build out capability in the acute care ER setting with a natural extension into trauma.

Platform and
Continuous learning

MaxQ AI has developed a generalized deep vision platform capable of considering the full richness of medical imaging along with any other patient data. This platform and A.I. approach will facilitate rapid discovery and decision support development.

The Future

Structured problem solving and collaboration are key to realizing the full potential of Deep Vision. With the right partners and data, there is a strong desire and potential to address more chronic diseases such as neurodegenerative disease, Cerebrovascular disease and PTSD.
The pipeline of potential treatments will require definitive complementary diagnosis and prognosis. This is an ideal challenge for deep machine vision
and learning.


The MaxQ-AI team of artificial intelligence, machine learning, deep learning and algorithmic experts,together with our dedicated Board of Directors and Scientific and Medical Advisory Board,are changing the standards of emergency room treatment and cost of care.

Scientific and Medical Advisory Board

Dr. Michael Lev

Mass General Hospital Boston
Director, Emergency Radiology and Emergency Neuroradiology.
Professor, Harvard Medical School

Prof. Moshe Gomori

Hadassah Medical Center
Head of MRI & Head of
Neuroradiology Unit

Dr. Yaakov Applbaum

Capital Health – New Jersey
Chairman and Medical Director, Department of Radiology

Prof. Jacob Sosna

Hadassah Medical Center
Chairman Radiology &
Medical Imaging

Dr. Gabriel Polliack

Chairman of the National Imaging Council Committee - for Sharing of Diagnostic Images

Dr. Ajay Choudhri

Capital Health – New Jersey
Director, Vascular and Interventional
Radiology Assistant Director,
Radiology, Capital Health

Dr. Paul Singh

Assistant Professor of NeuroEndovascular Surgery & Vascular Neurology, Rutgers Neurological Institute of Rutgers New Jersey Medical School.

Dr. David Haynor

M.D., Ph.D., Neuro-radiologist and Assistant Professor of Radiology and Neurological Surgery at University of Washington Hospitals

Dr. Jalal Andre

M.D., D.A.B.R., Director of Neurological MRI and MRI safety officer at Harborview Medical Center and a University of Washington, Assistant Professor
of Radiology

Board of Directors

Gene Saragnese
Chairman & CEO
Eitan Machover
Former GE Executive General Partner Ziegler Meditech Equity Partners
Sim Mann
Chief Strategy Officer, Exigent Alternative Capital
Michael Rosenberg
Co-Founder & Chief Financial Officer
Robert Mehler
Co-Founder & Chief Operating Officer
Netanel Peri
Barak Salomon
NTT DOCOMO Ventures advisor
Former Principal at Viola Growth
Independent Director


If you’re passionate about ground-breaking science and technology’s contribution to local and global healthcare…
If you’re excited about the idea of less time in hospital and more time doing the things you love…
If you agree that millions of private and government dollars can be better spent with more accurate emergency room treatment, resulting in better immediate care and significantly lower long-term care… We’re interested in you…

Send us your CV and how you’d like to become part of our team, or apply to one of our open positions below:

Current Opportunites


Senior Machine Learning Researcher

Tel Aviv


Full Stack
Web/Application/Cloud Developer

Tel Aviv


Global Channel Sales
Vice President

North East USA


Product Marketing
Vice President

North East USA



Tel Aviv


Clinical Collaboration and Customer Success