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Case study · 2025

RadBuddy

Reimagining the radiology consultation for modern healthcare

WebAIHealthcareRadiology
Client
RadBuddy
Year
2025
Services
Founding EngineerProductDesign & Development
RadBuddy

Overview

The Challenge

We designed an intelligent clinical decision support app that gives non-radiology providers instant access to evidence-based imaging recommendations, eliminating the uncertainty and delays that have long plagued diagnostic workflows.

Solution

Our Approach

By integrating seamlessly with ACR Appropriateness Criteria and leveraging AI to surface the right imaging modality at the right moment, RadBuddy is reshaping how primary care physicians, nurse practitioners, and hospitalists approach diagnostic imaging. The interface prioritizes speed and simplicity while maintaining the clinical depth providers need.

Results

Impact

Advancing a culture of informed, efficient care that reduces unnecessary procedures and gets patients to the right answers faster.

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