Welcome to our dedicated page for Radnet news (Ticker: RDNT), a resource for investors and traders seeking the latest updates and insights on Radnet stock.
RadNet Inc (NASDAQ: RDNT) operates one of the largest networks of outpatient diagnostic imaging centers in the U.S., combining advanced medical imaging services with AI-powered health informatics solutions. This news hub provides investors and healthcare professionals with essential updates on the company's financial performance, technological advancements, and strategic initiatives.
Access authoritative reporting on quarterly earnings, partnership announcements, and innovations in radiology workflow optimization. Our curated collection features official press releases alongside third-party analysis of RadNet's Imaging Center operations and DeepHealth digital solutions.
Key updates include developments in AI-enhanced diagnostic tools, imaging center expansions, and regulatory milestones. Track how RDNT integrates cloud-native platforms with traditional radiology services to improve patient outcomes and operational efficiency.
Bookmark this page for continuous access to verified information about RadNet's market position. Check regularly for updates on service enhancements, financial disclosures, and leadership insights shaping the future of diagnostic imaging.
RadNet (NASDAQ: RDNT) has announced a strategic partnership with OB/GYN Specialists of the Palm Beaches to launch breast imaging services across multiple locations in Palm Beach County. The collaboration integrates RadNet's DeepHealth AI-powered diagnostic solutions with OB/GYN Specialists, the largest obstetric and gynecological care provider in the region serving 60,000 women annually across 10 locations.
The partnership features RadNet's Enhanced Breast Cancer Detection (EBCD) protocol, which has demonstrated a 21% increase in breast cancer detection rates. The service includes interpretation by RadNet's board-certified breast imaging radiologists and implements DeepHealth's AI-driven health informatics, featuring cloud-based operating systems, patient tracking, and risk assessment integrated with EHR systems.
DeepHealth, a subsidiary of RadNet (NASDAQ: RDNT), will showcase new AI-powered radiology solutions at ECR 2025 in Vienna. The company will introduce Diagnostic Suite™, a cloud-native PACS alternative, and SmartMammo™, an AI-powered mammography solution that has shown a 21% increase in cancer detection rate.
The company's AI-powered Lung solution is currently supporting the NHS England's Lung Cancer Screening Program, where 76% of cancers were detected at earlier stages, compared to 29% historically. Their Prostate solution has demonstrated 97% diagnostic sensitivity and 37% reduction in workflow time for MRI reads.
DeepHealth's solutions are powered by DeepHealth OS, a cloud-native operating system integrating data across various platforms. The company's technology is currently utilized by over 800 clinical sites and more than 3,000 radiologists globally.
RadNet's subsidiary DeepHealth and ConcertAI's TeraRecon announced a strategic collaboration to advance imaging tools and radiology workflow. The partnership will integrate TeraRecon's advanced visualization technology into DeepHealth OS cloud-native Operating System, while incorporating DeepHealth's clinical AI solutions into TeraRecon's AI ecosystem.
The collaboration aims to create a seamless AI-enabled diagnostic experience for radiologists through DeepHealth's Diagnostic Suite™, enhancing diagnostic accuracy and efficiency. As imaging volumes rise, these integrated AI-powered solutions will help radiology departments manage workload while maintaining precision.
Both companies will explore additional areas to integrate AI-driven imaging and workflow automation, potentially including DeepHealth's AI-powered cancer screening capabilities in TeraRecon's ecosystem. The partnership will be showcased at the European Congress of Radiology 2025 in Vienna from February 26 to March 2.
RadNet (NASDAQ: RDNT), a national leader in diagnostic imaging services, has scheduled its fourth quarter 2024 financial results conference call for Friday, February 28, 2024 at 7:30 a.m. Pacific Time (10:30 a.m. Eastern Time). Investors can participate by dialing 844-826-3035 (US) or 412-317-5195 (International). The company will provide simultaneous and archived webcasts of the call, accessible through their dedicated webcast platform. An archived replay will be available via phone using the passcode 10197109.
RadNet (NASDAQ: RDNT), a leading provider of outpatient diagnostic imaging services, has announced its participation in the 43rd Annual J.P. Morgan Healthcare Conference in San Francisco. The presentation will take place on Wednesday, January 15th, 2025, at 3:00 p.m. PST at The Westin St. Francis Hotel.
Key executives participating in the presentation include Dr. Howard Berger (President and CEO), Mark Stolper (EVP and CFO), and Dr. Gregory Sorensen (EVP and Chief Science Officer). The presentation will be available via live webcast and can be accessed through the provided link for replay viewing.
DeepHealth, a subsidiary of RadNet (RDNT), has chosen Ketryx to accelerate its AI-powered health informatics solutions development. The partnership aims to streamline radiology workflows and enhance care delivery through DeepHealth's cloud-native operating system. According to FDA data, 79% of newly approved devices in radiology utilize AI/ML technologies.
DeepHealth will leverage Ketryx's connected lifecycle management software to accelerate product development while maintaining quality and compliance. The integration with tools like Jira and GitLab enables automated documentation and end-to-end traceability, helping expedite innovative product releases while adhering to regulatory requirements.
RadNet (NASDAQ: RDNT), a leading provider of diagnostic imaging services, has announced its participation in the BofA Securities 2024 Leveraged Finance Conference. Mark Stolper, Executive Vice President and CFO, will present at the conference in Boca Raton, FL on December 3, 2024, at 8:10 a.m. Eastern Time (5:10 a.m. Pacific Time).
The presentation will be accessible through simultaneous and archived webcasts available on both the BofA conference platform and RadNet's corporate website under the 'About RadNet' section and 'News and Press Releases' sub-menu.
DeepHealth, RadNet's subsidiary, launches new AI-powered solutions at RSNA 2024, including the cloud-native DeepHealth OS, Diagnostic Suite™, and TechLive™. The company introduces SmartTechnology™ solutions, featuring SmartMammo™ and SmartSonography™, developed in collaboration with GE HealthCare and Siemens Healthineers. These innovations aim to enhance imaging-based diagnosis, population health screening, and operational efficiency. The company has established strategic partnerships with industry leaders including CARPL.ai, TeraRecon, and Google to scale these solutions. Currently, DeepHealth's solutions are utilized by over 800 clinical sites and 3,000 radiologists worldwide.
Siemens Healthineers and DeepHealth, a RadNet subsidiary (NASDAQ: RDNT), announced a strategic collaboration to enhance ultrasound operations through AI-powered SmartTechnology™. The partnership combines Siemens' Acuson Sequoia ultrasound system with DeepHealth's SmartSonography™ solution to address workforce shortages and operational challenges. The technology includes a remote-acquisition platform for real-time scanning and monitoring, plus a cloud-native enterprise viewer for improved diagnostic accuracy. The collaboration aims to reduce scan time, decrease operator variability, and enable better patient care through standardized protocols and enhanced imaging capabilities.
Maverick Medical AI has completed deploying its real-time autonomous AI-powered medical coding solution across all 399 RadNet (NASDAQ: RDNT) sites. The mCoder solution, which uses deep learning and synthetic data generation, has processed over 10 million medical reports to date, generating reimbursement codes in real-time. RadNet plans to implement Maverick CodePilot™ into radiologists' workflow, enabling them to resolve coding-related issues before signing reports. The implementation has significantly increased RadNet's direct-to-bill rate, reducing errors, avoiding billing backlogs, and easing administrative burden.
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