DeepHealth launches Reporting Pro, an AI-powered clinical reporting tool
DeepHealth, a RadNet unit, launched Reporting Pro, an AI-powered clinical reporting tool that integrates speech recognition and AI findings to streamline radiology workflows. The platform addresses workforce shortages and rising imaging volumes by automating high-volume reporting tasks. It is commercially available in the US and UK, with plans for expansion into other markets.

*this image is generated using AI for illustrative purposes only.
DeepHealth, a unit of RadNet, has introduced Reporting Pro, an AI-powered tool designed to generate clinical reports for radiologists. The solution is now commercially available and aims to streamline the reporting workflow by integrating speech recognition, AI-generated clinical findings, measurements, and quality assurance into a single platform. This launch addresses the increasing demand for radiology services, which is projected to outpace workforce capacity, with shortages expected to reach 15% by 2029 in the United States and 40% by 2030 in certain European countries.
Reporting Pro automates high-volume reporting tasks by integrating clinical AI findings and measurements from FDA-cleared and CE-marked DeepHealth and third-party AI tools. The platform uses generative AI to organize findings and generate draft impressions, adapting based on physician feedback to improve reporting efficiency and clinical quality. It also supports the migration of existing templates and reporting preferences from legacy systems, ensuring minimal disruption to radiologists' workflows.
The tool connects speech recognition, clinical AI findings, measurements, AI-generated impressions, quality assurance, and structured reporting into a unified experience. Radiologists can review AI-supported draft content, refine it as needed, and finalize reports within a connected environment without manual data transfer. Reporting Pro is being deployed across RadNet at scale, with the first set of external customers contracted and deployments expected to go live within the next quarter.
"Reporting Pro is a critical step forward, bringing intelligence into the reporting workflow so radiologists can focus on review and refinement, rather than manual documentation," said Madhu Jahagirdar, Business and Product Leader, Enterprise Imaging, DeepHealth. Dr. Jason Sinner, Radiologist and Medical Director at RadNet, added that the tool significantly reduces reporting times, leading to faster turnaround times for patients and referring physicians.
Reporting Pro is designed to integrate with any existing picture archiving and communication system (PACS) and radiology information system (RIS). When deployed with DeepHealth's Diagnostic Suite, it delivers a seamless reporting experience by connecting image management, AI findings, workflow orchestration, and reporting. The platform is commercially available in the United States and the United Kingdom, with plans for release in Australia, South Africa, and select European markets by the end of the year. It supports all imaging modalities, including X-ray, Ultrasound, CT, PET/CT, and MRI.
Key Features of Reporting Pro
| Feature | Description |
|---|---|
| Clinical AI integration | Integrates findings and measurements from FDA-cleared and CE-marked AI tools into structured reports. |
| Generative AI-powered reporting | Uses AI to organize findings and generate draft impressions, adapting to physician feedback. |
| Fast migration and deployment | Supports migration of existing templates and preferences from legacy systems. |
| Streamlined workflow | Connects speech recognition, AI findings, and quality assurance into one unified experience. |
How will the adoption of Reporting Pro influence RadNet's financial performance and operational margins over the next fiscal year?
What regulatory hurdles might DeepHealth face when expanding Reporting Pro to new markets like Australia and South Africa by the end of the year?
How will competitors in the radiology AI space respond to the commercial launch of Reporting Pro, and could this trigger a wave of similar integrated solutions?
























