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      AI-Rad Companion

      At the center of radiology providing clinical, operational, and technical excellence

      Experience how AI-Rad Companion can be
      at the center of your medical imaging workflow

      AI-Rad Companion at the center of radiology

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      Clinical excellence

      AI-Rad Companion enables you clinically by automating multi-organ imaging post-processing to highlight abnormalities, segment anatomies, compare results to reference values, and generate contouring of organs at risk during radiation therapy.

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      Operational excellence

      With its deep learning algorithms, AI-Rad Companion automatically performs measurements and prepares results for reporting helping you attain operational efficiencies.

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      Technical excellence

      Technically, integration in your imaging interpretation workflows and standards is seamless with the AI-Rad Companion. Images and supporting information can automatically be available to any PACS, for individual reporting requirements.

      Providing multi-modality imaging decision support

      Clinical excellence
      Operational excellence

      Technical excellence

      Chest-CT Lung without findings
      Chest-CT Lung with findings

      Courtesy of Klinikum Nürnberg, Nuremberg, Germany

      State-of-the-art algorithms to support multi-organ image interpretation

      The family of AI-Rad Companion contains solutions for a variety of modalities and body regions, including Chest CT interpretation of the heart, lung, aorta, and vertebrae.1

      Our AI-Rad Companion sessions

      Visit one of our virtual expert talks to learn, from both our experts as well as our customers, how AI-Rad Companion may help you in daily routine.

      1

      AI-Rad Companion Chest CT, Brain MR, Prostate MR and Organs RT are not commercially available in all countries, and their future availability cannot be ensured.

      2

      AI-Rad Companion Chest X-ray is currently under development; it is not for sale in the United States and other countries.

      3

      The results by Siemens’ customers described herein are based on results that were achieved in the customer's unique setting. Since there is no "typical" hospital and many variables exist (e.g. hospital size, case mix, level of IT adoption) there can be no guarantee that other customers will achieve the same results.