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United Imaging Intelligence highlights dedications to advancing intelligent healthcare at RSNA 2023

Press releases may be edited for formatting or style | January 12, 2024 Business Affairs
BOSTON, Jan. 11, 2024 /PRNewswire/ -- The Radiological Society of North America (RSNA) has concluded its annual meeting in Chicago, IL, serving as a platform for revolutionary advancements in the field of radiology. United Imaging Intelligence (UII), an innovative subsidiary of United Imaging Group known for its pioneering artificial intelligence (AI) applications in healthcare, was thrilled to unveil its latest breakthroughs in medical AI at this prestigious event.

The theme of this year's conference, "Leading through Change", resonates perfectly with UII's core philosophy of "Leading Change" since its inception. Embracing the concept of pushing boundaries and fostering advancements in medical AI, UII remains committed to driving progress and creating a substantial impact in the field.

Advancing Full-Stack, Full-Spectrum Innovations for Clinical Diagnosis
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For this event, UII showcased its state-of-the-art AI technology in neurology, cardiology, and oncology, and thoracic imaging. These innovations have a significant impact on the entire workflow of medical professionals, spanning from imaging and prevention to diagnosis, treatment, follow-up assessment, and biomedical research.

In the field of neurology, stroke represents a critical condition that necessitates immediate medical attention. UII has collaborated with physicians to develop AI models specifically designed for stroke management using computed tomography (CT) scans. These models enable rapid identification of patients in critical conditions and facilitate efficient collaboration among multidisciplinary teams. Moreover, UII has made notable advancements in magnet resonance imaging (MRI)-based AI models that enhance the diagnosis of brain disorders and provide accurate insights for scientific research.

Cardiovascular diseases are often cited as the leading cause of death, and their diagnoses heavily rely on cardiovascular medical imaging. However, this process can be time-consuming and limited by physician's knowledge and experience. To address this challenge, UII's AI models utilize both CT and MRI modalities to assist evaluation of cardiac anatomy, physiology, function, and characteristics. This streamlines the image post-processing workflow and offers clinicians and researchers a wider range of parameters for clinical assessment and scientific investigation.

AI is also revolutionizing oncological care. UII has partnered with physicians and hospitals to develop cutting-edge AI technologies that are tailored for various oncological scenarios. These advancements also span from imaging and screening to diagnosis and treatment for different types of cancers, e.g., lung cancer, prostate cancer, breast cancer, and metastases.

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