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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. Detection in 2018, and V3.0 in 2016, followed by 3D V2.0

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AI helps out with spotting, localizing interval breast cancers

AuntMinnie

AI software can help increase detection of interval cancers on screening mammograms that were missed by two human readers, according to research published August 27 in Radiology. Lunit) to 2,052 screening mammograms acquired between January 2011 to December 2018 and interpreted by two readers.

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Study on breast density notification narratives draws mixed reaction

AuntMinnie

Previous studies have demonstrated that dense breast tissue masks breast cancers on mammography, and that supplemental imaging such as ultrasound and MRI confirms suspicious findings within dense tissue. Kerlikowske has studied breast density on imaging. The law goes into effect September 10, 2024. “The

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Biomarker model predicts breast cancer risk without racial bias

AuntMinnie

However, mammograms contain highly predictive biomarkers of future cancer risk. Lamb and colleagues sought to assess the performance of an image-based deep learning risk assessment model for predicting both future invasive breast cancer and ductal carcinoma in situ (DCIS) across multiple races. Image and caption courtesy of RSNA.

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AI shows promise as first reader in breast cancer screening

AuntMinnie

A commercial AI system achieved high marks as a first reader in double-reader settings for breast cancer screening, a Danish study published December 20 in Cancer Imaging found. The team included data from 257,671 screening mammograms performed between 2014 and 2018. Specificity 97.8% Positive predictive value 18.7%

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Lunit AI Releases Successful Study Results on Breast Cancer Screening Deployment

Imaging Technology

Efficiency Gains and Enhanced Screening Metrics The follow-up study analyzed screening metrics from two nine-month periods: July 2018–March 2019 (pre-AI/pre-COVID) and July 2023–March 2024 (post-AI implementation). Previously, the waiting time for a clinical mammogram was five to six weeks. Now, with AI, it’s down to zero.”

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Late-stage breast cancer incidence increasing in U.S. women

AuntMinnie

This goes for women in all age groups and women who are Asian, Black, Hispanic, and Native American, according to the report written by Edward Hendrick, PhD, from the University of Colorado in Aurora and Debra Monticciolo, MD, from the Foundation for Imaging Research and Education in Temple, TX. They added that the U.S.

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