RadNet has secured a $250 million incremental term loan through Incremental Amendment No. 3 to its Third Amended and Restated First Lien Credit and Guaranty Agreement. The company also reduced interest rates on its credit facilities by 0.25%, lowering borrowing costs as it pursues strategic growth initiatives including acquisitions and health system partnerships.

The 2026 Incremental Term Loan matures on April 18, 2031, aligning with the existing term loan balance of $958.7 million. Quarterly principal payments on the combined term loan will increase to approximately $3.1 million from approximately $2.4 million prior to the amendment. The proceeds are earmarked for future acquisitions, organic expansion, health system partnerships, and general corporate purposes.

Interest rates on the term loan were reduced by 0.25%, allowing RadNet to elect either Term SOFR plus 2.00% or the alternate base rate plus 1.00%. The interest rate on its existing $282 million revolving credit facility, which is currently undrawn, was also reduced by 0.25%. RadNet provided six months of call protection to term loan lenders participating in the repricing.

Mark Stolper, Executive Vice President and Chief Financial Officer of RadNet, attributed the amendment to continued support from Barclays and other relationship banks. He noted that the additional liquidity and reduced rates position the company to advance its growth strategy across its national imaging center network and technology platforms.

The following table outlines the key changes to RadNet's credit facilities:

RadNet, Inc. is a national provider of fixed-site outpatient diagnostic imaging services and a developer of radiology digital health solutions. The company operates a network of outpatient imaging centers across multiple states, including California, New York, and Texas, and offers technology solutions under its DeepHealth brand.

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