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     124  0 Kommentare New Research Supporting ProFound AI Presented at European Congress of Radiology Online Meeting - Seite 2

    “Our research adds to the growing body of evidence demonstrating the potential value that AI may offer in the clinical setting,” said Dr. Conant. “Not only may AI algorithms help increase radiologists’ confidence in interpreting DBT studies, it may also help improve reading efficiency. Our retrospective study shows that AI has the potential to correctly identify a third of DBT screening exams as having no malignancy or an extremely low likelihood of malignancy. This AI-triaging could help radiologists determine which cases may need more intensive analysis.”

    In addition, new findings from a recent study supporting ProFound AI Risk as a short-term, image-based cancer risk prediction model were presented at the meeting in a Special Focus Session by Per Hall, MD, Professor/Senior Physician at the Karolinska Institutet (SF 16 -2). During this discussion, Professor Hall reviewed the Karolinska Institutet’s research involving ProFound AI Risk and the identification of women at high risk and at low risk of developing breast cancer in between screening mammograms.

    “The Profound AI Risk model is a validated short-term risk model that provides clinically relevant data about patients’ individual risk of developing cancer between screenings,” said Professor Hall. “Our study data show that the ProFound AI Risk model offers significantly superior performance compared to any other current model.”

    Additionally, ECR Channel 1 featured a video presentation by Axel Gräwingholt, MD, Radiologie am Theater in Paderborn, Germany, titled “How ProFound AI is Used in Clinical Routine for Breast Screening, Diagnostics, and Risk Assessment via a Clinical Case Study” on Saturday, March 6.

    ProFound AI Risk is a clinical decision support tool that combines aspects within mammographic images, such as complexity, asymmetry, and breast density with patient age, to provide a highly accurate short-term risk estimation that is specific to each woman. It is part of iCAD’s full suite of Breast Health Solutions, which also includes the latest generation of ProFound AI for Digital Breast Tomosynthesis (DBT), the first AI cancer detection software for DBT to be cleared by the FDA, as well as ProFound AI for 2D Mammography,* and PowerLook Density Assessment, iCAD’s automated breast density assessment solution.

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    New Research Supporting ProFound AI Presented at European Congress of Radiology Online Meeting - Seite 2 Company showcased expanded ProFound AI platform, including ProFound AI Risk, the world’s first clinical decision support tool that provides a highly accurate short-term risk estimation specific to each woman NASHUA, N.H., March 08, 2021 (GLOBE …

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