Medical Image Classifiers.
Patient Outcome Predictors.
Transforming the Way Healthcare is Delivered.

InformAI has a healthcare focus on AI solutions that speed up medical diagnosis at the point-of-care and improve radiologist productivity. Our AI-enabled image classifiers and patient outcome predictors are developed within the world’s largest medical center complex, the Texas Medical Center. Together with our partners, InformAI is transforming the way healthcare is being delivered.

Our Solutions
InformAI is a 2020 recipient of an AI grant 2014827 from the National Science Foundation.
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The InformAI Team

InformAI works with renowned healthcare organizations, national physician groups, and leading medical imaging companies to build solutions that improve patient outcomes. Our team is comprised of leaders in healthcare, medicine and artificial intelligence.

Jim Havelka
Jack Barker
Anil Shetty, M.D.
Innovation Lead
Golnaz Moeini, RAC
Regulatory Advisor
Moshe Ephrat, M.D.
National ENT Practice
Elizabeth Hawk, M.D., PhD
Stanford Medical School
Eric Rohren, M.D.
Radiology Chair, Baylor College of Medicine
Bob Parke, M.D.
Lead ENT, Baylor College of Medicine

Our Partners

Leading hospitals and clinics
Inception Program
Technology Partner
Partner Network

Our Solutions

At InformAI, we build artificial intelligence and deep learning algorithms for industry-leading healthcare organizations.

Paranasal Sinus Classifier

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Brain Cancer Classifier

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Patient Outcome Predictors

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Surgical Risk Predictors

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What Makes Us Different?


Proprietary data augmentation and model optimization utilities

Proprietary Data

Privileged datasets for product development

3D Classifiers

Assist radiologists and physicians in diagnosis

10X Data

Larger data sets for superior training and optimization


Direct access to world-renowned medical experts

In The News

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