Focus on the images. RadOverlay builds your report.
Dictate your findings, measurements, and instructions naturally. RadOverlay® turns them into a complete report in your preferred style, ready for you to review and sign.
Built specifically for radiologists by a radiologist. Works directly in your browser. No change to your existing systems.
Real-World Impact
- Uses in live clinical workflows
- 42,000+
- Among clinicians who have engaged with the product
- 85% user retention
- Used for >80% of all cases by core users
- Proven value
- Average productivity improvement among core users
- 1–2 RVUs/hour
- 91% of reports generated in under 10 seconds
- Architected for speed
- 68% of drafts accepted as-is. When edited, changes averaged just 6% of words.
- Proven accuracy
Products
What Radiologists Experience
This is a great product. I recognized its value when covering multiple services and handling an exceptionally heavy workload over consecutive days. Ordinarily, I would be completely exhausted afterwards. Despite hitting personal RVU records each day, I felt as if I had more to give. I couldn't have maintained that level of output and quality without RadOverlay. RadOverlay's work will be critical to helping practices meet growing capacity demands.
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. Dr. Bennett is passionate about improving radiologist workflow, promoting physician autonomy, and building sustainable, high-quality radiology practice models. He co-founded RadOverlay to address workflow inefficiencies common among teleradiologists.
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.