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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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AI Bias May Impair Radiologist Accuracy on Mammogram

Imaging Technology

milla1cf Mon, 05/22/2023 - 13:25 May 22, 2023 — Incorrect advice by an AI-based decision support system could seriously impair the performance of radiologists at every level of expertise when reading mammograms, according to a new study published in Radiology , a journal of the Radiological Society of North America ( RSNA ).

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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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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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AI Outperformed Standard Risk Model for Predicting Breast Cancer

Imaging Technology

milla1cf Fri, 06/09/2023 - 08:12 June 9, 2023 — In a large study of thousands of mammograms, artificial intelligence (AI) algorithms outperformed the standard clinical risk model for predicting the five-year risk for breast cancer. a research scientist and practicing radiologist at Kaiser Permanente Northern California. Arasu, M.D.,

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Mammogram reads improve when arranged from low to high breast density

AuntMinnie

Screening mammography exams arranged from low to high breast density can boost radiologists' interpretation performance, suggest findings published on October 8 in Radiology. This idea stems from previous studies' findings that between 20% and 50% of interval and screen-detected breast cancers were visible on prior screening mammograms.

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Combining AI Models Improves Breast Cancer Risk Assessment

Imaging Technology

“In recent years, AI has been studied for the purpose of diagnosing breast cancer earlier by automatically detecting breast cancers in mammograms and measuring the risk of future breast cancer.” Diagnostic AI models are trained to detect suspicious lesions on mammograms and are well suited to estimate short-term breast cancer risk.