June 10, 2026 — DeepHealth, Inc., a wholly owned subsidiary of RadNet, has launched Reporting Pro, an AI-powered solution designed to transform the way radiologists generate clinical reports and findings for their referring physicians.
Reporting Pro includes capabilities that bring speech recognition, AI-generated clinical findings, measurements, AI-generated impressions, quality assurance and structured reporting into one seamless workflow.
“Radiology is entering a new era where AI supports the diagnostic journey from image analysis to reporting. 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.
As imaging volumes continue to rise, radiology demand is expected to outpace workforce capacity. Radiologist shortage is projected to reach about 15% by 2029 in the United States,1 and approximately 40% by 2030 in certain European countries.2 Reporting remains one of the most time-intensive and cognitively demanding steps for radiologists, creating a crucial opportunity to help them work more efficiently and consistently.
Reporting Pro automates high-volume reporting tasks with key capabilities including:
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Clinical AI integration: Reporting Pro integrates clinical AI findings and measurements from FDA-cleared and CE-marked DeepHealth and third-party AI tools into the reporting workflow, enabling clinically relevant results to flow directly into structured report creation.
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Generative AI-powered reporting: Reporting Pro uses generative AI to help organize findings and generate draft impressions. The platform adapts based on physician feedback to better support how findings are summarized and structured, helping accelerate reporting while maintaining a high level of clinical quality.
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Fast migration, deployment and adoption: Reporting Pro integrates with existing workflows. The solution supports migration of existing templates and reporting preferences from legacy reporting systems,enabling radiologists to maintain familiar workflows while adopting a more intelligent, AI-native reporting experience.
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Streamlined and automated reporting workflow: Reporting Pro connects speech recognition, clinical AI findings, measurements, AI-generated impressions, quality assurance and structured reporting capabilities into one unified experience. With integration of DeepHealth’s native clinical AI solutions, radiologists can review AI-supported draft content, refine it as needed and finalize reports within a connected reporting environment without any manual data transfer.
Reporting Pro Deployment
Reporting Pro is being deployed across RadNet at scale, providing real-world validation of its capability to support faster, consistent reporting across high-volume clinical environments. The first set of external customers for Reporting Pro have also been contracted, with deployments going live within the next quarter.
“With Reporting Pro, a structured report is already waiting when I open a case with findings populated, measurements in place and a preliminary report drafted. That significantly reduces reporting times, translating directly to faster turnaround times for patients and referring physicians who rely on receiving reports on a timely basis in order to make critical treatment decisions,” said Dr. Jason Sinner, Radiologist and Medical Director, RadNet.
Reporting Pro is designed to integrate with any existing picture archiving and communication system (PACS) and radiology information system (RIS). When deployed together with DeepHealth’s Diagnostic Suite,3 the solutions deliver a seamless reporting experience, connecting image management, AI findings, workflow orchestration and reporting. This helps route, prioritize, review and report cases more efficiently.
Reporting Pro is commercially available in the United States and the United Kingdom, with plans to release it in Australia, South Africa and select European markets by the end of the year. The platform is available across all imaging modalities, including X-ray, Ultrasound, CT, PET/CT and MRI.
References
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Health Resources and Services Administration. “Workforce Projections.” National Center for Health Workforce Analysis, n.d., data.hrsa.gov/topics/health-workforce/nchwa/workforce-projections. Accessed Sept 2025.
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Royal College of Radiologists Clinical Radiology Census 2024/25.
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Diagnostic Suite comprises multiple applications, including DeepHealth Viewer. DeepHealth Viewer is manufactured by eRAD, Inc. and distributed by DeepHealth, Inc. Any claims made about Diagnostic Suite may reference claims associated with its individual components.
September 15, 2026 
