We’re creating a new category of Artificial Intelligence (AI) diagnostic tools. MaxQ AI is at the forefront of transforming healthcare by empowering physicians to provide ‘smarter care’ through intelligent imaging with AI-driven actionable insights. We are committed to harnessing the power of artificial intelligence to raise the level of acute care in hospitals all around the world with expert results to save lives, improve quality, and lower healthcare costs.


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.

Pay for Performance, Quality Outcomes, Stroke Center, MaxQ AI
Gene Saragnese
Chairman & CEO

Prior to joining MaxQ AI, Gene was CEO of Philips Imaging (April 2009 - May 2015) and served as a member of Philips Healthcare’s Executive Team. He previously headed CT, Molecular imaging and image processing divisions in GE Healthcare, served as GE Healthcare CTO and General Manager of GE’s MRI business.

Pay for Performance, Quality Outcomes, Stroke Center, MaxQ AI
Michael Rosenberg
Co-Founder & Chief Financial Officer

22+ years of finance, operations and business development experience in enterprise software focused in Big Data Analytics, Telecom, BCP/DR/COGS and B2B eCommerce. Extensive experience in global markets.

Pay for Performance, Quality Outcomes, Stroke Center, MaxQ AI
Robert Mehler
Co-Founder & Chief Operating Officer

20+ years of extensive operational and strategy consulting experience in the enterprise software space. Most recently, head of Global Business Operations for GENBAND fring.

Pay for Performance, Quality Outcomes, Stroke Center, MaxQ AI
Chris Schnee
S.VP Commercial Operations

22+ years global commercial leadership, sales, marketing, and business operations experience within healthcare, medical device, medical imaging, and industrial market sectors. Prior to joining MaxQ AI served as VP Global Marketing and International Sales, Centurion Medical and General Manager, Christie Medical Holdings.

Pay for Performance, Quality Outcomes, Stroke Center, MaxQ AI
Ofer Pinhasi
VP Product Management

25+ years of technology and innovation leadership in software and medical imaging. Prior to MaxQ AI, Ofer managed CT and functional imaging product development programs in GE Healthcare and Philips.

Pay for Performance, Quality Outcomes, Stroke Center, MaxQ AI
Dr. Joshua Schulman
VP Clinical, Regulatory and
Quality Affairs

18+ years of clinical R&D and worldwide regulatory experience in imaging, medical devices and pharmaceuticals for academia, government and industry. PhD in Neurobiology.

Pay for Performance, Quality Outcomes, Stroke Center, MaxQ AI
Maya Michelsohn
VP Finance & Principal
Accounting Officer

18 years of finance experience for large corporate and banking institutions on a global basis. Extensive experience in public company financial reporting and controls. Most recently, Director, Corporate Finance at Teva Pharmaceuticals. Certified Public Accountant.

Pay for Performance, Quality Outcomes, Stroke Center, MaxQ AI
Yaniv Ben-Zriham
Vice President R&D

20 years of technology, innovation and leadership in high-tech and medical device leading companies. Prior to MaxQ AI, Yaniv has managed cross functional multidisciplinary R&D teams composed of integration, HW, SW, FW, Algorithm & System Engineers at Intel, Philips Healthcare, Given-Imaging & Biosense-Webster.

Scientific and Medical Advisory Board

Dr. Michael Lev

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

Dr. Yaakov Applbaum

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

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
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

Algorithms Senior Machine Learning Researcher

Tel Aviv


Full Stack Web/Application/Cloud Developer

Tel Aviv


Clinical Collaboration and Customer Success Director