Products

DeepHealth
RadNet, Inc.
Clinical Decision Support & Reference
DeepHealth, a RadNet subsidiary, provides AI-powered health informatics solutions to empower breakthroughs in care through imaging, focusing on improving diagnostic accuracy and operational efficiency across various modalities and disease areas.

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About RadNet

RadNet is a prominent national provider of outpatient diagnostic imaging services and a growing force in radiology software and artificial intelligence (AI). For physicians, RadNet offers a comprehensive suite of imaging studies, including MRI, CT, PET/CT, mammography, ultrasound, X-ray, and fluoroscopy, facilitated through its extensive network of over 440 outpatient imaging centers across multiple U.S. states. The company emphasizes a multi-modality strategy, aiming to be a one-stop solution for referral sources and health plans, and focuses on delivering high-quality, accessible, and cost-effective care.

Beyond its core imaging services, RadNet, through its Digital Health division and subsidiary DeepHealth, is actively developing and deploying AI-powered solutions to enhance medical image interpretation and improve patient outcomes. These AI tools are designed to support more accurate screening for prevalent cancers such as breast, lung, and prostate, and are also being leveraged in neuroradiology for conditions like Alzheimer’s. RadNet’s strategy involves integrating AI into a unified workflow platform to address operational bottlenecks and improve efficiency throughout the imaging process, from patient engagement to radiologist workflow. The company’s large network of imaging centers provides a valuable testing ground for AI implementation and refinement, with its AI tools performing over 15 million exams annually, resulting in more than 2 million AI-informed diagnoses.

Focus Areas

Outpatient Diagnostic Imaging Artificial Intelligence in Radiology Breast Cancer Screening Prostate Cancer Detection Lung Cancer Screening Neuroradiology Radiology Information Systems (RIS) Picture Archiving and Communication Systems (PACS) Workflow Optimization Population Health

Business Intelligence

TechnologyDeepHealth OS (cloud-native operating system), eRAD (integrated, web-based, cloud solutions for medical imaging workflow, including RIS, PACS, Speech Recognition, Patient & Physician Portals)

What Physicians Need to Know

AI-Powered Cancer Screening
RadNet, through its subsidiary DeepHealth, specializes in AI solutions for early and accurate detection of prevalent cancers, including breast, lung, prostate, and thyroid. Their Breast Suite, for instance, has shown a significant increase in cancer detection rates.
Workflow Optimization & Automation
RadNet focuses on integrating AI to streamline radiology workflows, addressing bottlenecks and operational inefficiencies. This includes AI-assisted scheduling, automated data entry verification, workflow orchestration, and remote operational oversight for imaging scanners and technologists.
Unified AI-Driven Platform
A key differentiator is RadNet's commitment to a unified, AI-driven workflow platform, rather than fragmented point solutions. Their DeepHealth OS is a cloud-native operating system that unifies data across clinical and operational workflows and personalizes AI-powered workspaces.
Extensive Data for AI Training
RadNet leverages its massive imaging network of over 435 imaging centers and approximately 12 million annual imaging exams to train and refine its AI systems, providing a significant advantage in AI development.
Population Health Management
RadNet's AI portfolio is geared towards large-scale diagnostic and screening programs for population health, aiming to drive improved patient outcomes while lowering costs.
Neurodegenerative Disease Assessment
RadNet also utilizes AI technology in neuroradiology for assessing and monitoring neurodegenerative changes, which is crucial for new drug and treatment therapies for diseases like Alzheimer's.
Remote Imaging & Collaboration
Their TechLiveu2122 platform offers multi-modality, remote acquisition and collaboration, easily deployed through low-cost infrastructure, expanding access to imaging services.
AI-Powered Reporting
DeepHealth's Reporting Pro solution transforms clinical reporting by integrating speech recognition, AI-generated clinical findings, measurements, and impressions into a seamless workflow, aiming to improve efficiency and consistency.
Physician Tip

For physicians, RadNet's AI tools, particularly through DeepHealth, offer enhanced diagnostic accuracy and efficiency, especially in cancer screening (breast, lung, prostate, thyroid) and neurodegenerative disease assessment. The unified DeepHealth OS aims to reduce operational headaches caused by fragmented point solutions, providing a more seamless and integrated workflow for image interpretation, reporting, and patient management. The AI-assisted scheduling and automated tasks can free up valuable time, allowing physicians to focus more on patient care. Additionally, their provider portal, 'Connect,' offers secure, real-time access to patient images and reports, streamlining communication and reducing administrative burden.

RadNet's DeepHealth OS is designed with a modular and open architecture, allowing for the adoption of AI and workflow applications separately and interoperability with best-in-class ecosystem solutions. They have strategic collaborations, such as with GE HealthCare, to integrate DeepHealth's AI-powered SmartMammou2122 with GE HealthCare's mammography systems. RadNet also integrates acquisitions like iCAD, See-Mode, and Gleamer into its DeepHealth portfolio to expand its AI capabilities. Their solutions are used in over 800 clinical sites and perform over 15 million AI-informed exams annually.

Products by RadNet

1 product in the directory

DeepHealth
RadNet, Inc.
Clinical Decision Support & Reference
DeepHealth, a RadNet subsidiary, provides AI-powered health informatics solutions to empower breakthroughs in care through imaging, focusing on improving diagnostic accuracy and operational efficiency across various modalities and disease areas.

What the Web Says

RadNet is a large outpatient radiology provider with numerous centers across the US. Employee reviews frequently highlight a high-volume, fast-paced work environment, often leading to staff feeling overworked and underpaid. While some employees appreciate the opportunity to gain experience and the supportive immediate co-workers, there are widespread complaints about management, communication, and a perceived lack of focus on patient care in favor of profit.

Overall: Negative

Strengths

  • Opportunity to gain experience and cross-train in various modalities.
  • Supportive immediate co-workers and good team collaboration.
  • Some managers are supportive and open to suggestions.
  • PTO is relatively easy to collect and request.
  • Potential for career advancement for some, especially into management roles.
  • Good medical benefits.

Limitations

  • Employees often feel overworked, underpaid, and burnt out due to high patient volumes and demanding schedules.
  • Poor management, lack of communication, and inconsistent leadership are frequently reported.
  • Patient care is perceived to be compromised for the sake of profit.
  • Lack of raises, bonuses, and limited opportunities for pay increases.
  • Issues with onboarding, credentials, and training.
  • Disorganized scheduling, leading to long patient wait times and frustrated staff.

Based on reviews from: Reddit, Indeed.com, Comparably, Trustpilot, SimplyHired, Better Business Bureau (BBB), Breakroom

Last updated: 2026-09-11

Videos

News, demos, and interviews about RadNet.

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Press & Coverage

RadNet, Inc. (via GlobeNewswire)
RadNet Reports Second Quarter Financial Results with Record Quarterly Revenue and Adjusted EBITDA and Revises Upwards 2026 Financial Guidance Ranges
RadNet announced record-breaking financial results for its second quarter of 2026, with total company revenue reaching $622.7 million and Adjusted EBITDA of $99.7 million, leading to an upward revision of its 2026 financial guidance.
2026-08
Diagnostic Imaging
RadNet Experiences Significant Growth in Advanced Imaging Procedures
RadNet reported substantial growth in advanced imaging procedures like MRI, CT, and PET/CT in Q2 2026, leading to an upward adjustment of its financial forecasts for the year.
2026-08
RadNet, Inc. (via GlobeNewswire)
DeepHealth Receives Two FDA Clearances Enabling it to Add Cardiovascular Insights and Prior Exam Integration to its AI-Powered Breast Suite
DeepHealth, a RadNet subsidiary, received two FDA 510(k) clearances for its AI-powered Breast Suite, introducing Breast Arterial Calcification (BAC) Assessment and prior exam integration.
2026-06
RadNet, Inc. (via GlobeNewswire)
RadNet Secures $250 Million Incremental Term Loan to Fund Strategic Growth Opportunities and Reduces the Interest Rates on its Credit Facility by 0.25%
RadNet secured a $250 million incremental term loan to finance future acquisitions, organic expansion, and health system partnerships, while also reducing interest rates on its credit facility by 0.25%.
2026-06
RadNet, Inc. (via GlobeNewswire)
DeepHealth Launches Reporting Pro, Bringing AI Automation to Radiology Reporting
DeepHealth, a RadNet subsidiary, launched Reporting Pro, an AI-powered solution designed to automate and enhance the creation of clinical reports and findings for radiologists.
2026-06
RadNet, Inc. (via GlobeNewswire)
RadNet Announces a Proposed $200 Million Incremental Term Loan to Fund Strategic Growth Opportunities
RadNet announced its intention to secure a $200 million incremental term loan to fund future acquisitions, organic expansion, and health system partnerships, aiming to enhance its strategic growth.
2026-06
RadNet, Inc. (via GlobeNewswire)
DeepHealth, a RadNet Subsidiary, Receives FDA Clearance for Remote Scanning Solution, TechLive
DeepHealth, a wholly-owned subsidiary of RadNet, received FDA 510(k) clearance for TechLive, a remote scanning solution that enables centralized operation and supervision of various imaging procedures.
2025-08
RadNet, Inc. (via GlobeNewswire)
RadNet Secures $100 Million Incremental Term Loan to Fund Acquisitions and Corporate Initiatives
RadNet secured a $100 million incremental term loan to fund future acquisitions and for other general corporate purposes, increasing its capacity to execute on strategic growth opportunities.
2025-06

Frequently Asked Questions

RadNet, primarily through its DeepHealth subsidiary, offers a comprehensive AI-powered health informatics portfolio. Key products include the DeepHealth OS, a cloud-native operating system that integrates clinical and operational tools for radiology workflows. Specific AI solutions target breast, lung, prostate, and brain health, with offerings like the Enhanced Breast Cancer Detection (EBCD) program for mammography, AI for lung nodule detection and management, and Quantib AI for prostate and brain MRI analysis.
RadNet has a dedicated Corporate Compliance Department that ensures adherence to federal, industry, and internal healthcare standards. Their AI solutions, such as DeepHealth Saige-DX mammography and Quantib Prostate AI, have received FDA clearances and CE Marks where applicable, demonstrating regulatory compliance. They also maintain accreditation with organizations like the American College of Radiology (ACR) for their imaging equipment and facilities.
While specific pricing models are not publicly detailed, RadNet's AI solutions are designed for integration. The DeepHealth OS is a cloud-native platform with an open architecture, allowing AI and workflow applications to be adopted separately and interoperate with existing best-in-class ecosystem solutions. RadNet has also shown flexibility in reimbursement, with some partnerships offering AI-backed programs to patients at no additional cost.
RadNet aims to consolidate AI capabilities onto a common platform managed centrally, simplifying implementation and maintenance compared to fragmented point solutions. Their DeepHealth OS is designed to integrate data across an enterprise with API-based modules and offer personalized workflow applications. DeepHealth's Reporting Pro, for example, integrates with existing PACS and RIS systems to provide a seamless reporting experience.
RadNet has formed several strategic partnerships to advance its AI offerings. These include collaborations with HOPPR to develop fine-tuned AI models for cancer detection, and with ConcertAI's TeraRecon to integrate advanced visualization and AI into diagnostic workflows. They also have an expanded collaboration with GE HealthCare for AI-powered imaging across multiple modalities and remote scanning. These partnerships aim to enhance diagnostic accuracy, improve workflow efficiency, and expand access to advanced imaging tools.
RadNet is a national leader in outpatient diagnostic imaging services with a strong financial standing, reporting record revenues and adjusted EBITDA in recent quarters. They have made significant investments in their AI subsidiary, DeepHealth, viewing AI as a crucial element for the future of imaging and for addressing staffing shortages and increasing imaging volumes. Their aggressive growth strategy, including acquisitions of AI companies, demonstrates a long-term commitment to AI integration and innovation in healthcare.

Investors

Who's funded RadNet.

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