Cambridge, Massachusetts, Feb. 19, 2024 – – DeepHealth, Inc., one of the leading providers in healthcare radiology informatics, has today announced that the latest results from its AI-powered radiology screening and diagnostic programs will be presented at this year’s European Congress of Radiology (ECR 2024) in Vienna, Austria, between February 28 – March 03.

DeepHealth technology is used in over 300 radiology departments and imaging centers across the world. Over 15 million exams have been performed using DeepHealth solutions, resulting in more than two million AI-informed diagnoses. In Europe, DeepHealth is pioneering the use of AI in lung cancer detection.

DeepHealth’s portfolio builds on the strengths of eRAD Radiology Information and Image Management Systems, Aidence lung AI and Quantib prostate AI, which are now rebranded and part of DeepHealth.

Sham Sokka, Chief Operating and Technology Officer of DeepHealth, said, “Some of our Lung cancer AI technology is embedded in European clinics, and is central to pioneering lung cancer screening programs. Importantly, we are developing technology to support beyond imaging and diagnostics to embed AI and efficiency into multiple steps of the imaging process, from workflow management to clinical reporting.”

DeepHealth’s development of a unique ‘one system’ approach optimizes the healthcare pathway, supporting radiology departments and imaging centers with a comprehensive solution for medical imaging, including operational solutions and end-to-end services across the clinical care continuum. DeepHealth activities at ECR 2024 include:

  • The satellite symposium “Radiologists and AI-powered Health Informatics: Leading the Way in Screening” will take place on Thursday, February 29th from 09.30 to 10.30 CET in room ACV-M1. It will also be streamed live on ESR Connect. Expert speakers include Professor Marie Pierre Revel, University of Paris, France; Dr Sam Hare, CEO Heart and Lung Health, Consultant Chest Radiologist, Dr. Greg Sorensen, Chief Science Officer, RadNet & Chief Product Leader, Clinical AI, DeepHealth.
  • The research presentation session “Pulmonary Nodules and Lung Cancer Screening” focused on chest will take place on Saturday, March 2nd from 16:00 to 17:30 CET, in room RPS 2014. Within the session, Maurits Engbersen, Clinical Manager, DeepHealth, will present the results of a study that investigated the effect of CAD on agreements in management recommendations between the reporting radiologist and an expert peer reviewer.
  • Interactive demonstrations of DeepHealth technology at a dedicated booth on the exhibition floor (Booth no. AI – 13 – Expo X1 – AI area)

DeepHealth is working to empower radiologists in the detection and diagnosis of diseases by rewriting the rules on what we can do with imaging technology in healthcare.

About DeepHealth

DeepHealth, a wholly-owned subsidiary of RadNet, Inc.(NASDAQ: RDNT) provides AI-powered radiology and health informatics to empower breakthroughs in care delivery. The portfolio of solutions is anchored by eRAD Radiology Information System (RIS)/Picture Archiving and Communication System (PACS)- informatics designed specifically for outpatient radiology and the DeepHealth OS, which is a cloud-native operating system that orchestrates all clinical and operational data to drive value across the enterprise. DeepHealth aims to address challenges across the entire radiology value chain from referral management, scheduling, and patient engagement to technologist workflow and interpretation. It seeks to empower all users across the care continuum with personalized workflows to deliver better care. DeepHealth leverages advanced AI operational and clinical technologies in breast, lung, and prostate health leading to increased operational efficiency, clinical confidence, and patient outcomes.

Forward Looking Statements

This press release contains “forward-looking statements” within the meaning of the safe harbor provisions of the U.S. Private Securities Litigation Reform Act of 1995. Forward-looking statements, including statements regarding the capabilities of the DeepHealth health informatics product portfolio, artificial intelligence solutions, the DeepHealth OS and each’s impact on radiology practices and healthcare workflow, are expressions of our current beliefs, expectations and assumptions regarding the future of our business, future plans and strategies, projections, and anticipated future conditions, events and trends. Forward-looking statements can generally be identified by words such as: “anticipate,” “intend,” “plan,” “goal,” “seek,” “believe,” “project,” “estimate,” “expect,” “strategy,” “future,” “likely,” “may,” “should,” “will” and similar references to future periods.

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