Cloud-native platform selected to modernize operations, help improve efficiency and strengthen patient-centered care coordination across multi-site network
SOMERVILLE, Mass. (November 20, 2025) — DeepHealth, a wholly owned subsidiary of RadNet, Inc. (NASDAQ: RDNT) and a leader in AI-powered health informatics, today announced Wichita Radiological Group (WRG) has selected DeepHealth’s Operations Suite™1 to replace its legacy Radiology Information System (RIS) to advance operations, strengthen care coordination and deliver a more connected, patient-centered imaging experience across its multi-site network.
Leveraging DeepHealth’s Operations Suite™, WRG will implement a modular suite of AI-powered applications to streamline its operational workflows, to enhance productivity and improve staff experience via task automation, advanced analytics and data interoperability. The five-year agreement aims to improve efficiency, boost collaboration and strengthen care coordination.
“DeepHealth’s Operations Suite™ gives us an all-in-one solution to help simplify daily operations, providing real-time transparency and control over operational workflows, which supports our goal to deliver more personalized care for every patient,” said Kamran Ali, MD, President of Wichita Radiological Group. “The solution will transform how we work, improving efficiency from scheduling to billing while ensuring our patients experience more personalized, transparent and timely care at every touchpoint.”
DeepHealth’s Operations Suite™ is an imaging operations platform that unifies scheduling, registration, billing, analytics and patient communication into a seamless, AI-powered platform, streamlining and connecting workflows and empowering imaging teams to work efficiently and prioritize personalized patient care.
The suite of solutions enables workflow automation, such as patient intake and scheduling, while integrating data across systems and delivering role-specific experiences. This has the ability to help practices make better use of resources, streamline operating workflows and ease staffing pressures—ultimately creating a better experience for patients, staff and providers.
Key capabilities include:
- Guided Patient & Staff Experience: A fully digital journey that keeps patients informed and engaged—from scheduling through communicating clinical results. Patients receive clear instructions, updates and reminders—while staff benefit from intelligent prompts and automated workflows intended to reduce administrative work and improve satisfaction.
- Intelligent Operations: Drive streamlined, efficient healthcare IT operations—from scheduling to exam completion—through automated, personalized workflows and AI-powered agents that help balance workloads and optimize resource utilization.
- Comprehensive, Unified Platform: Enable scalable, connected healthcare IT operations through a single platform that centralizes workflows, data and performance management across the enterprise for improved visibility and consistency.
“Wichita Radiological Group’s selection of DeepHealth’s Operations Suite™ reflects how forward-thinking practices are preparing for the future of imaging,” said Kees Wesdorp, President and CEO of RadNet’s Digital Health Division. “As more organizations modernize their systems and integrate AI, DeepHealth is becoming a trusted partner in shaping the future of radiology. Our solutions are connected, scalable and designed to help teams focus more on care with less administrative burden.”
WRG’s team of radiologists and support staff provides subspecialty expertise across diagnostic, neuroradiology, pediatric, interventional and women’s imaging. The group reads more than 500,000 studies annually, supporting a Level I trauma center and a VA Medical Center. WRG also owns and operates three outpatient imaging centers, including the area’s only comprehensive women’s imaging facility.
For more information, visit deephealth.com and the DeepHealth booth (#1329 South Hall) at the Radiological Society of North America 2025 Annual Meeting (RSNA 2025), which will take place November 30–December 4 at McCormick Place in Chicago.
About RadNet, Inc.
RadNet, Inc. is a leading national provider of freestanding, fixed-site diagnostic imaging services in the United States based on the number of locations and annual imaging revenue. RadNet has a network of 407 owned and/or operated outpatient imaging centers. RadNet’s markets include Arizona, California, Delaware, Florida, Maryland, New Jersey, New York and Texas. In addition, RadNet provides radiology information technology and artificial intelligence solutions marketed under the DeepHealth brand, teleradiology professional services and other related products and services to customers in the diagnostic imaging industry. Together with contracted radiologists, and inclusive of full-time and per diem employees and technologists, RadNet has about 11,000 team members. For more information, visit radnet.com.
About DeepHealth
DeepHealth is a wholly owned subsidiary of RadNet, Inc. (NASDAQ: RDNT) and serves as the umbrella brand for all companies within RadNet’s Digital Health Division. DeepHealth provides AI-powered health informatics with the aim of empowering breakthroughs in care through imaging. Building on the strengths of the companies it has integrated and is rebranding (e.g., CIMAR UK cloud-native healthcare image management solutions, eRAD Radiology Information and Image Management Systems and Picture Archiving and Communication System, Aidence lung AI, Kheiron, iCAD breast AI, Quantib prostate and brain AI, and See-Mode thyroid and breast AI), DeepHealth leverages advanced AI for operational efficiency and improved clinical outcomes in breast, chest, neuro, prostate and thyroid health. At the heart of DeepHealth’s portfolio is a cloud-native operating system — DeepHealth OS — that unifies data across clinical and operational workflows and personalizes AI-powered workspaces for everyone in the radiology continuum. Thousands of radiologists at hundreds of imaging centers and radiology departments around the world use DeepHealth solutions to enable earlier, more reliable and more efficient disease detection, including in large-scale cancer screening programs. DeepHealth’s human-centered, intuitive technology aims to push the boundaries of what’s possible in healthcare. For more information, visit deephealth.com.
Forward Looking Statements
This communication contains certain “forward-looking statements” within the meaning of the safe harbor provisions of the U.S. Private Securities Litigation Reform Act of 1995, Section 27A of the Securities Act of 1933, as amended, and Section 21E of the Securities Exchange Act of 1934, as amended. Forward-looking statements can be identified by words such as: “anticipate,” “believe,” “could,” “estimate,” “expect,” “forecast,” “intend,” “may,” “outlook,” “plan,” “potential,” “possible,” “predict,” “project,” “seek, “should,” “target,” “will” or “would,” the negative of these words, and similar references to future periods. Examples of forward-looking statements include statements regarding the anticipated benefits of the acquisition, the impact of the acquisition on RadNet’s business and future financial and operating results and prospects and the amount and timing of synergies from the acquisition are based on the current estimates, assumptions and projections of RadNet, and are qualified by the inherent risks and uncertainties surrounding future expectations generally, all ofwhich are subject to change. Actual results could differ materially from those currently anticipated due to a number of risks and uncertainties, many of which are beyond RadNet’s control.
Forward-looking statements are neither historical facts nor assurances of future performance. Instead, they are based only on management’s current beliefs, expectations and assumptions regarding the future of RadNet’s business, future plans and strategies, projections, anticipated events and trends, the economy and other future conditions. Because forward-looking statements relate to the future, they are subject to inherent uncertainties, risks and changes in circumstances that are difficult to predict and many of which are outside of RadNet’s control. RadNet’s actual results and financial condition may differ materially from those indicated in the forward-looking statements as a result of various factors. Neither RadNet, nor any of its directors, executive officers, or advisors, provide any representation, assurance orguarantee that the occurrence of the events expressed or implied in any forward-looking statements will actually occur, or if any of them do occur, what impact they will have on the business, results of operations or financial condition of RadNet. Should any risks and uncertainties develop into actual events, these developments could have a material adverse effect on RadNet’s business and the ability to realize the expected benefits of the acquisition. Risks and uncertainties that could cause results to differ from expectations include, but are not limited to: (1) the ability to recognize the anticipated benefits of the technology, and (2) the risk of legislative, regulatory, economic, competitive, and technological changes.
These forward‑looking statements are based on our current expectations, estimates, assumptions, and projections and involve uncertainties and risks that are difficult to predict. Actual results may differ materially from those expressed or implied by these forward‑looking statements due to a variety of factors, including, among others: market acceptance and adoption rates for Operations Suite; our ability to successfully develop, manufacture, launch, and scale Operations Suite on anticipated timelines and at expected costs; the performance, reliability, interoperability, and safety of Operations Suite in real‑world conditions; customer acquisition, retention, and usage patterns; our ability to secure and maintain partnerships, suppliers, distribution channels, and key talent; competition, pricing pressure, and technological change; the timing and outcome of regulatory reviews, approvals, certifications, or compliance requirements; intellectual property protection and third‑party claims; cybersecurity, data privacy, and data governance considerations; supply chain constraints and component availability; macroeconomic, geopolitical, public health, and industry‑specific conditions; and other risks and uncertainties described in the “Risk Factors,” “Management’s Discussion and Analysis,” and other sections of our filings with the Securities and Exchange Commission, including our most recent Annual Report on Form 10‑K and Quarterly Reports on Form 10‑Q. The foregoing review of important factors should not be construed as exhaustive and should be read in conjunction with the other cautionary statements that are included elsewhere. Additional information concerning risks, uncertainties and assumptions can be found in RadNet’s filings with the Securities and Exchange Commission (the “SEC”), including the risk factors discussed in RadNet’s most recent Annual Report on Form 10-K, as updated by its Quarterly Reports on Form 10-Q and future filings with the SEC.
For purposes of this communication, references to our “Operations Suite” include related features, components, modules, optional services, and roadmap items, some of which may not be available in all markets or at all times and remain subject to change without notice.
Forward-looking statements included herein are made only as of the date hereof and, except as required by applicable law, RadNet does not undertake any obligation to update any forward-looking statements, or any other information in this communication, as a result of new information, future developments or otherwise, or to correct any inaccuracies or omissions in them which become apparent. All forward-looking statements in this communication are qualified in their entirety by this cautionary statement.
Media Contact
Jane Mazur
SVP, Corporate Communications
RadNet
+1 585-355-5978
jane.mazur@radnet.com
References
1) DeepHealth’s Operations Suite™ includes eRAD RIS. Manufactured by eRad and distributed by DeepHealth.
