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Enterprise Imaging

Foundational informatics to orchestrate workflow.

eRAD

Operational efficiency with AI.

Population Health

Clinical AI-powered tools.

Elevating the role of radiology across the entire care continuum.

Learn more. Explore our extensive library of case studies, scientific publications, and conference presentations from leaders in radiology. Or signup for a demo.

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Pulmonary Incidental Nodules: Improve Detection and Follow-up by integrating Artificial Intelligence

  • News

    RadNet Unveils DeepHealth, a Pioneering AI-Powered Health Informatics Portfolio

    LOS ANGELES, Nov. 27, 2023 — RadNet, Inc. (NASDAQ: RDNT), a national leader in providing high-quality, cost-effective outpatient diagnostic imaging services, today announces the launch of DeepHealth, a health informatics portfolio designed to dramatically drive efficiency and transform radiology’s role in healthcare.

  • Conference Presentation

    Categorical artificial intelligence helps general radiologists and breast imaging specialists improve cancer detection performance on DBT mammograms for women of all races

    Jiye G. Kim, PhD

    SBI-ACR BREAST IMAGING SYMPOSIUM POSTER PRESENTATION 2023

  • Conference Presentation

    Radiologists using categorical AI for screening mammography improve more than double reading alone

    Hyunkwang Lee, PhD

    SBI-ACR BREAST IMAGING SYMPOSIUM POSTER PRESENTATION 2023

  • Scientific Publication

    Early experiences of integrating an artificial intelligence-based diagnostic decision support system into radiology settings: a qualitative study

    Nuša Farič, PhD, Sue Hinder, PhD, Robin Williams, PhD, Rishi Ramaesh, MD, Miguel O Bernabeu, PhD, Edwin van Beek, PhD, Kathrin Cresswell, PhD

    JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION September 25, 2023

  • Scientific Publication

    Bridging the experience gap in prostate multiparametric magnetic resonance imaging using artificial intelligence: A prospective multi-reader comparison study on inter-reader agreement in PI-RADS v2.1, image quality and reporting time between novice and expert readers.

    Ali Forookhi, Ludovica Laschena, Martina Pecoraro, Antonella Borrelli, Michele Massaro, Ailin Dehghanpour, Stefano Cipollari, Carlo Catalano, Valeria Panebianco

    EUROPEAN JOURNAL OF RADIOLOGY February 16, 2023

  • Scientific Publication

    Retrospective analysis of radiotherapy plans for prostate cancer after revision of MRI targeted lesions detected by Quantib

    Petrucci et al,

    ANNUAL MEETING OF THE ITALIAN SOCIETY OF URO-ONCOLOGY (SIURO) October 3, 2023

  • Scientific Publication

    Artificial Intelligence for Neuroimaging and Musculoskeletal Radiology: Overview of Current Commercial Algorithms

    Elisa R. Berson, Mariam S. Aboian, Ajay Malhotra, Seyedmehdi Payabvash

    SEMINARS IN ROENTGENOLOGY April 20, 2023

  • Case Study

    “AI provides extra information”: Brain Health at Erasmus MC

    DeepHealth

    With Meike Vernooij M.D., Neuroradiologist at the Alzheimercentrum Erasmus MC and Professor of Population Imaging at Erasmus MC

  • Case Study

    “Helped me decrease my reporting times significantly”: the prostate solution at Swiss International Prostate Center

    DeepHealth

    With Martina Martins, M.D., Swiss International Prostate Center

  • Case Study

    “It is much more helpful than I would have ever imagined”: the prostate solution at The York/Wellspan

    DeepHealth

    With Edward Steiner, M.D., Chief and Medical Director, The York/WellSpan Advanced Prostate Care Center

  • Case Study

    “It just works”: The smooth deployment of the lung solution at Portsmouth NHS

    Mark Gardner

    Head of Radiology IT, Digital Imaging Architect at Portsmouth Hospitals University NHS Trust