AI Radiology App
Led design early stages of a generative AI solution for radiology, designed by and for radiologists to address challenges like rising patient volumes, a shrinking workforce, and provider burnout.
2025 / Product Design Lead
Radiologists are challenged by volumes of data and are often times locked away in front of large monitors in dark rooms for 12 hours at a time. Mistakes can happen, even if rare, and things can be missed or left out of reporting. Additionally, there’s a how slew of things that occur before, during and after patient care that very obviously needed to be automated. This is where this platform comes into play.
Problem
Generative multi-control and multi-input chat interface that suggests next best action
According to Director of Duke University LCS program, this solution improved quality by 60%
Automated before-during-after treatment plan
Outcome
This is at the forefront of LCS (Lung Cancer Screening) programs. Your user experience and interface design is amazing. Very nice job. By streamlining the process and providing radiologists all these tools we have seen an improvement of 60% impression evaluation and recommendations to next steps which will help diagnose cases and save lives.”
— Dr. Christensen,
Director of Duke University LCS Program
and Chair of the ACR Lung-RADS Committee
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Larger case study available upon request.
