Rad AI is on a mission to improve patient outcomes and access to quality healthcare by applying state-of-the-art artificial intelligence to radiology, a critical part of medical diagnosis and treatment. Designed by radiologists and for radiologists, our products make life better for both radiologists themselves and the patients they serve.

Hospital

Health & Wellness

Rad AI

Doktor Gurson

William Boonn

Woojin Kim

Aravind Mahadevan

Anjali Balagopal

Andrew Vold

Scott Whitney

Lisa Braun Rissing

Craig Warner

Al Heath

Josh Duncan

The Engineering Team at Rad AI is dedicated to developing innovative software solutions that leverage artificial intelligence to enhance radiology practices. Comprised of software engineers, machine learning specialists, and platform engineers, the team collaborates to design, build, and optimize tools that improve patient outcomes and streamline the workflows of radiologists. Their work ensures that Rad AI's products are robust, efficient, and user-friendly, ultimately supporting the mission of delivering quality healthcare.

Engineering Team

Leadership Team

Research and Development

Engineering Team

About

Team members

Other teams at Rad AI

Leadership Team

Research and Development