DeepHealth’s Reporting Pro brings AI drafting to radiology reports
DeepHealth, a wholly owned subsidiary of RadNet (NASDAQ: RDNT), launched Reporting Pro on June 10, 2026. The product is built for radiologists and combines speech recognition, AI-generated clinical findings, measurements, draft impressions, quality assurance, and structured reporting into a single workflow.
What It Does
Reporting Pro pulls AI findings and measurements from both DeepHealth’s own FDA-cleared tools and compatible third-party AI systems, feeding them directly into a structured report draft. Radiologists open a case and find content already populated. According to Dr. Jason Sinner, Medical Director at RadNet, the approach reduces reporting times and translates to faster turnaround for referring physicians making treatment decisions.
The platform uses generative AI to organize findings and produce draft impressions, then adapts based on physician feedback over time. It also supports migration of existing templates and reporting preferences from legacy systems, so radiologists do not have to rebuild their workflows from scratch.
Availability and Compatibility
Reporting Pro works with any existing PACS and RIS setup. It is commercially available now in the United States and the United Kingdom, with plans to expand to Australia, South Africa, and select European markets before the end of 2026. The platform supports X-ray, Ultrasound, CT, PET/CT, and MRI.
DeepHealth is already deploying the product across RadNet’s own network. The first external customer contracts have been signed, with those deployments going live within the next quarter.
The Context
The US faces a projected radiologist shortage of around 15% by 2029, according to the Health Resources and Services Administration. Certain European countries are looking at roughly 40% shortfall by 2030, per the Royal College of Radiologists. Reporting is among the most time-intensive steps in the radiology workflow, which is the gap Reporting Pro targets.
Reporting Pro was first shown at RSNA 2025 and is now open for commercial deployment. DeepHealth will also demo it at the SIIM Annual Meeting 2026 at booth #105-107.
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