What We Do

We maintain the OHIF code for the open source community and customize it for each client’s particular needs. Building and customizing OHIF has been our singular focus for more than 10 years. Whatever DICOM viewer application you are dreaming up, we have the right experience to help you achieve it

Let’s Build Something
Together

Whether you need to add custom workflows to OHIF, implement new features in OHIF or need a DICOM viewer for your AI, we are ready to help.

Don’t Just Take Our Word for It

Here’s What Our Clients Say

Headshot of Alex Weston, Principal Data Science Analyst, Digital Innovation Lab at Mayo Clinic

I worked with Radical to adapt a custom OHIF solution to a Cloud environment. I was impressed with the Radical team's deep understanding of medical image annotation, and how quickly they scoped our custom Cloud environment's capabilities. The project would not have been possible without them, and they were a pleasure to work with.

Alex Watson
Principal Data Science & Innovation Lab
Mayo Clinic

Built on Experience, Proven by Results

  • Primary contributors to OHIF since its inception
  • 60+ satisfied clients for a total of 180+ successful projects
  • 15+ years of experience in operation
  • 6000+ hours contributed to open-source software

How We Work

Plan

We listen carefully so we fully understand your goals.

Design

We collaborate with you before writing a single line of code to ensure what we build meets both your current and future needs.

Build

We deliver on time, on budget, and on quality—guaranteed.

Support

With 15+ years of experience, we’ll be here when you need us.

Reference Implementations

OHIF Viewer V3 displaying 3D surface segmentations on a lung CT scan with an enhanced preset.

OHIF Viewer

The OHIF Viewer is a zero-footprint all-purpose radiology viewer based on Cornerstone that meets the minimum requirements for the IHE Basic Image Review profile. The code is organized into packages that can be re-used to build other purpose-specific viewers to accommodate a variety of custom workflows. OHIF has formed the basis for many viewer projects world-wide.

The Crowds Cure Cancer app dashboard with gamification features like badges and score progress.

Crowds Cure Cancer

Crowds Cure Cancer is a web-based image viewer that allows researchers from around the globe to access the database and contribute using a fun, spirited application. The deployed viewer works across all platforms including desktops, laptop, tablets and mobile devices.

OHIF Viewer measuring tumor size to track oncology treatment progress over time

LesionTracker

LesionTracker is an image viewer based on the OHIF framework, tailored specifically for an oncology metrics workflow that is useful in clinical trials. It has specialized tools, UI elements, and logic for measuring tumors and following their progress (growth or shrinkage) over time, typically in response to a treatment as part of a clinical trial. This project is funded by the National Cancer Institute under a 5-year ITCR U24 grant.

Let’s Build Something Together

Whether you need to add custom workflows to OHIF, implement new features in OHIF or need a web DICOM viewer for your AI, we are ready to help. 

We Work With Leaders in Healthcare

ascend Logo
Flywheel Logo
Mayo Clinic Logo
nucleushealth Logo
nuvasive Logo