Core Insights - RadNet, Inc. is set to present at the 44th Annual J.P. Morgan Healthcare Conference on January 14, 2026, at 10:30 a.m. PST [1][2] - The company is a leading provider of diagnostic imaging services in the U.S., operating a network of 407 outpatient imaging centers [2] Company Overview - RadNet, Inc. specializes in high-quality, cost-effective diagnostic imaging services and is recognized for its extensive network of imaging centers [2] - The company operates in several states, including Arizona, California, Delaware, Florida, Maryland, New Jersey, New York, and Texas [2] - RadNet employs over 11,000 team members, including radiologists, technologists, and support staff [2] Presentation Details - The presentation will take place at The Westin St. Francis Hotel in San Francisco, CA [2] - A live webcast of the presentation will be available for access and replay [2]

Core Insights - RadNet, Inc. has acquired Radiology Regional, expanding its presence in Southwest Florida with 13 new imaging centers [1][2][3] - The acquisition is expected to generate approximately $100 million in revenue for RadNet in 2026 [3] Company Overview - RadNet is a leading provider of outpatient diagnostic imaging services in the U.S., operating 407 imaging centers across various states [4] - Radiology Regional has been a significant player in the Southeast U.S. for over 50 years, offering a wide range of diagnostic services [5] Strategic Implications - The acquisition allows RadNet to leverage its operational efficiencies and advanced imaging technologies to meet the growing demand for imaging services in Florida [3] - The integration of AI-powered innovations from RadNet is expected to enhance clinical accuracy and improve patient experience at the newly acquired centers [3] Workforce Impact - The acquisition adds an estimated 400 employees and 44 contracted radiologists to RadNet's workforce [2]

Bench of veteran leaders elevated to drive RadNet’s continued growth and innovationLOS ANGELES, Jan. 07, 2026 (GLOBE NEWSWIRE) -- RadNet, Inc. (NASDAQ: RDNT), a national leader in providing high-quality, cost-effective outpatient diagnostic imaging services and a premier global developer of digital health solutions, announced today the promotion of four senior leaders to expanded executive roles in recognition of their decades of operational excellence and strategic growth. Effective immediately, the execut ...

We came across a bearish thesis on RadNet, Inc. on Hunterbrook’s Substack. In this article, we will summarize the bulls’ thesis on RDNT. RadNet, Inc.'s share was trading at $71.22 as of December 16th. RDNT’s trailing P/E was 386.89 according to Yahoo Finance. MP Materials (MP) Ends 4-Day Run, Loses 8.9% on Profit-Taking Copyright: epstock / 123RF Stock Photo RadNet, Inc., together with its subsidiaries, provides outpatient diagnostic imaging services in the United States and internationally. RDNT presen ...

RadNet, Inc. (NASDAQ:RDNT) stock is trading lower on Tuesday. Hunterbrook Capital released a short report on Tuesday on the company, stating that the smaller companies are slapping "AI" on their pitch decks and watching their valuations soar.RadNet is a provider of freestanding, fixed-site diagnostic imaging services in the United States. It runs a network of 407 owned and/or operated outpatient imaging centers.Benzinga has reached out to RadNet for comments, and is yet to hear from the company.Short Seller ...

Core Insights - RadNet, Inc. is a key player in the healthcare sector, focusing on diagnostic imaging services through a network of outpatient imaging centers, offering MRI, CT, and PET scans, with a subsidiary, DeepHealth, enhancing its services with AI technology [1] Group 1: Stock Performance and Ratings - On December 1, 2025, B. Riley upgraded RadNet's stock to a "Buy" rating, raising the price target from $71 to $87, reflecting confidence in the company's growth potential [2][6] - Despite the upgrade, RadNet's stock is currently priced at $81.67, showing a decrease of 1.35% from the previous day, with a market capitalization of approximately $6.3 billion [4][6] Group 2: Innovations and Strategic Focus - DeepHealth has launched an expanded portfolio of next-generation imaging informatics and clinical AI solutions at RSNA 2025, aimed at improving disease detection, assessment, and monitoring [3] - The President and CEO of RadNet's Digital Health Division highlighted the transformative potential of AI-powered imaging, indicating that integrating AI across its portfolio could drive future growth [5]

Core Insights - The launch of the DeepHealth Breast Suite represents a significant advancement in AI-powered breast cancer screening and diagnostic pathways, aiming to enhance early detection and improve patient care [2][3] Group 1: Product Overview - DeepHealth Breast Suite is a comprehensive, modular suite of AI applications designed to support over 10 million mammograms annually, improving breast cancer detection rates and workflow efficiency [1][3] - The suite integrates various AI applications, including breast cancer detection, density assessment, and risk assessment, with cloud-based tools for enhanced diagnostic workflows [1][6] Group 2: Clinical Impact - A recent study published in Nature Health demonstrated a 21% increase in breast cancer detection rates using the Breast Suite, with notable improvements in detecting cancers in dense breasts (23%) and among Black, non-Hispanic women (20%) [3][4] - The AI-powered risk assessment model has shown to accurately estimate short-term breast cancer risk, potentially allowing for earlier detection of up to 44% of cancers in high-risk women compared to traditional models [4][5] Group 3: Workflow Optimization - The Breast Suite includes advanced workflow tools that enhance radiologist performance, such as ProFound Pro for accurate cancer detection and automated density assessments for consistent classification [6][12] - Features like prioritized worklists and timely alerts improve operational efficiency by flagging high-suspicion cases quickly, enabling same-day follow-ups [12][6] Group 4: Research and Development - DeepHealth is actively presenting research at RSNA 2025, showcasing the effectiveness of the Breast Suite in improving cancer detection rates and elevating general radiologists' performance to that of specialists [8][10] - The ongoing development of the Breast Arterial Calcification assessment aims to identify cardiovascular disease risks, further expanding the suite's capabilities [6][4]

Core Insights - DeepHealth, a subsidiary of RadNet, is launching an expanded portfolio of AI-powered health informatics solutions aimed at transforming the imaging experience and advancing population health [1][2][10] - The company emphasizes an integrated, end-to-end approach to healthcare delivery, leveraging AI to improve operational efficiency and clinical outcomes [2][10] Product Offerings - **Diagnostic Suite™**: A cloud-first enterprise image management solution that automates and accelerates radiology processes, featuring rapid data migration and AI-powered reporting capabilities [4][10] - **TechLive™**: A remote imaging management solution that connects over 400 scanners, resulting in a 42% reduction in MR room closures and improved patient throughput [4][10] - **Operations Suite™**: A unified suite that integrates scheduling, registration, billing, and patient communication, designed to enhance operational efficiency and patient engagement [4][10] Clinical AI Solutions - **Breast Suite**: An AI-powered suite that enhances breast cancer detection, showing a 21% increase in detection rates in a study involving over 579,000 women [5][10] - **Thyroid Suite**: Automates thyroid ultrasound workflows, achieving over 94% acceptance of AI-based measurements by radiologists [5][10] - **Neuro Suite**: Standardizes neuroimaging analysis, including applications for white matter hyperintensity detection and volumetric measurement [5][10] - **Chest Suite**: Automates lung cancer detection, contributing to a significant increase in early-stage cancer detection rates [5][10] - **Prostate Suite**: Streamlines prostate MRI interpretation and biopsy planning, integrating automated lesion detection and risk classification [5][10] Technological Integration - **DeepHealth OS™**: A cloud-native operating system that unifies imaging informatics and AI solutions, simplifying deployment and management for healthcare IT professionals [5][6][10] - **AI Studio**: Integrates over 140 AI algorithms from various vendors into clinical workflows, ensuring consistent performance and safe deployment [5][10] Market Impact - DeepHealth's solutions are currently utilized by over 2,000 customers and more than 5,000 radiologists globally, demonstrating significant real-world impact in healthcare delivery [7][10]

Core Insights - DeepHealth's Operations Suite™ has been selected by Wichita Radiological Group (WRG) to modernize its operations and enhance patient-centered care coordination across its multi-site network [1][2][3] Company Overview - DeepHealth is a wholly owned subsidiary of RadNet, Inc. and specializes in AI-powered health informatics aimed at improving operational efficiency and clinical outcomes in imaging [7] - RadNet, Inc. is a leading provider of diagnostic imaging services in the U.S., operating 407 outpatient imaging centers and employing approximately 11,000 team members [6] Product Features - The Operations Suite™ offers a modular suite of AI-powered applications designed to streamline operational workflows, enhance productivity, and improve staff experience through task automation and data interoperability [2][4] - Key capabilities of the Operations Suite™ include workflow automation for patient intake and scheduling, integration of data across systems, and role-specific experiences to optimize resource utilization [4][10] Strategic Goals - The five-year agreement between DeepHealth and WRG aims to improve efficiency, boost collaboration, and strengthen care coordination within the imaging practice [2][4] - The Operations Suite™ is expected to transform operational workflows from scheduling to billing, ensuring a more personalized and transparent patient experience [3][4] Market Position - The selection of DeepHealth's Operations Suite™ by WRG reflects a trend among forward-thinking practices preparing for the future of imaging through modernization and AI integration [4] - DeepHealth is positioned as a trusted partner in the radiology sector, focusing on reducing administrative burdens and enhancing care delivery [4][7]

Core Insights - The largest real-world analysis of AI-driven breast cancer screening in the U.S. shows increased cancer detection rates and equitable benefits across diverse patient populations [1][3] Study Overview - The ASSURE study evaluated the AI-powered workflow in RadNet's Enhanced Breast Cancer Detection™ (EBCD™) program, analyzing mammograms from over 579,000 women across 109 imaging sites in multiple states [2] - The study compared traditional 3D mammography screening with an AI-driven protocol that integrates DeepHealth's FDA-cleared software and a Safeguard Review workflow [2] Results and Findings - The AI-powered workflow resulted in a 21.6% increase in cancer detection rates compared to standard 3D mammography, while maintaining recall rates within guidelines and improving positive predictive value by 15% [3] - For women with dense breasts, the AI workflow achieved a 22.7% increase in cancer detection rates, addressing both higher cancer risk and diagnostic challenges [3] - The study included over 150,000 Black women, highlighting the technology's potential to improve access to care for populations facing higher breast cancer mortality [3] Implementation and Impact - EBCD™ was launched nationwide in 2023, utilizing AI applications from DeepHealth's Breast Suite to enhance detection of difficult-to-find lesions [3] - The study's real-world findings emphasize the ability of AI to improve access to specialist-level care for women, regardless of their location [3] Company Background - RadNet, Inc. is the largest provider of outpatient diagnostic imaging services in the U.S., operating 407 imaging centers across several states [4] - DeepHealth, a subsidiary of RadNet, focuses on AI-powered health informatics to enhance clinical outcomes and operational efficiency in various health domains [5][6]