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iCAD Releases Enhanced ProFound Detection Workstation Features to Streamline Mammogram Interpretation for Radiologists

Imaging Technology

We're excited to introduce advanced workstation features for our flagship solution, ProFound Detection, aimed at further improving and facilitating radiologists' interpretation of mammograms within their workstation,” said Dana Brown , President and CEO of iCAD. in 2016, followed by 3D V2.0 Detection in 2018, and V3.0

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New Study Finds Age and Race Impact Artificial Intelligence (AI) Performance on Digital Mammograms

Imaging Technology

christine.book Tue, 05/21/2024 - 10:36 May 21, 2024 — According to a newly-published study of nearly 5,000 screening mammograms interpreted by an FDA-approved AI algorithm, patient characteristics such as race and age influenced false positive results. Duke Health , breast radiologist and assistant professor at Duke University in Durham, NC.

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Artificial Intelligence from ScreenPoint Medical and Volpara Health Demonstrates Ability to Predict Long-Term Breast Cancer Risk

Imaging Technology

milla1cf Thu, 05/25/2023 - 10:28 May 25, 2023 — Researchers from the Mayo Clinic (Rochester, MN) and University of California, San Francisco confirmed that pairing artificial intelligence (AI) imaging and volumetric breast density algorithms can assist in predicting long-term risk of breast cancer, in particular invasive disease.

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Breast imaging AI algorithm influenced by patient characteristics

AuntMinnie

Radiology departments continue to have interest in implementing AI into their workflows, with the technology being used to manage workloads among radiologists. iCAD) generated case scores (malignancy certainty) and risk scores (one-year subsequent malignancy risk) for each mammogram. The FDA-approved algorithm (ProFound AI 3.0,

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AI Performs Comparably to Human Readers of Mammograms

Imaging Technology

milla1cf Tue, 09/05/2023 - 09:00 September 5, 2023 — Using a standardized assessment, researchers in the UK compared the performance of a commercially available artificial intelligence (AI) algorithm with human readers of screening mammograms. For each test mammogram, the reader’s score is compared to the ground truth of the AI results.

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Why understanding breast density matters

The British Institute of Radiology

1) and may go undetected until they are larger and more likely to present with clinical symptoms [4]. Women with dense breasts are BOTH more likely to develop breast cancer and more likely to have that cancer missed on a mammogram [5] Fig. 1 – Cancer on a mammogram of a fatty vs a dense breast What is Dense Breast Tissue?

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Inflammatory Breast Carcinoma

Global Radiology CME

A) Mammogram MLO view. Mammogram CC view. Discussion: 63-year-old woman presented to a clinic with a one month history of progressively enlarging right breast with redness and tenderness. Both tissue diagnosis of malignancy and clinical evidence of inflammatory disease are required to confirm the diagnosis of IBC [3].