Our Mission

Radiology should not feel like a constant exercise in translation where clinical reasoning is reduced to rigid templates, commands, and repetitive boilerplate.

The current capacity crisis is not only a problem of volume, but of workflow strain. As demands increase, radiologists are pushed to spend more time on documentation and less time on the part of the work that matters most: interpreting images and making clinical decisions. Over time, this contributes to burnout and drives talented physicians out of practice earlier than they should be.

We are building RadOverlay to change that.

By removing the friction of report construction, radiologists stay focused on the images, maintain their clinical flow, and reduce the cognitive overhead of documentation. The result is not just faster reporting, but a better day-to-day experience of radiology. Our vision for radiology is one that preserves autonomy, supports decision-making, and restores the parts of the work that we love.

We believe this shift has two outcomes: immediate gains in productivity, and a longer-term impact on the profession itself, by helping radiologists stay in practice longer, with greater satisfaction and sustainability.

RadOverlay is designed to preserve the radiologist’s authorship, oversight, and responsibility while fundamentally reshaping how reporting fits into practice.

Meet Our Team

Bradford Bennett, MD
Co-Founder & CEO
Brad is a board-certified radiologist and the founder of Falcon Radiology, PLLC, an independent teleradiology practice. He completed his radiology residency at The Johns Hopkins Hospital and a neuroradiology fellowship at the Hospital of the University of Pennsylvania. After a year in private practice, he launched his own solo teleradiology company to gain greater flexibility, spend more time with his young family, and explore radiology-focused entrepreneurship. He is passionate about improving the radiology workflow, so much so that he co-founded RadOverlay to address common inefficiencies.
Daniel Himmelstein, PhD
Co-Founder & CTO
Daniel has authored several software and data tools to streamline biomedical research, including Manubot for collaborative manuscript authoring on GitHub and Hetionet, a popular knowledge graph for drug repurposing. Prior to founding RadOverlay, Daniel was the Chief Data Scientist at Related Sciences where he co-led the data team to develop AI/ML approaches for systematic drug target prioritization. Daniel received his PhD in Biological & Medical Informatics from the University of California, San Francisco. As an undergraduate at Cornell University, he majored in Biometry & Statistics.