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Mammogram reads improve when arranged from low to high breast density

AuntMinnie

Although larger studies are needed to validate these findings, our results suggest that ordering screening mammograms for reading by increasing volumetric breast density may be feasible,” the study authors wrote. For batch reading, this requires interpreting radiologists to adapt to the characteristics of the mammogram they are reading.

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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. Nguyen, M.D.

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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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Abbreviated MRI suitable in subsequent screening of dense breasts

AuntMinnie

(B) Axial subtracted contrast-enhanced fat-suppressed T1-weighted image from a subsequent-round abbreviated MRI examination performed two years later shows a new 5-mm enhancing mass in the upper outer right breast (arrow), which was not seen on a mammogram performed five months prior. The exam was assessed as BI-RADS category 5.

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DeepHealth expands reach in Europe

AuntMinnie

Kheiron, founded in 2016 and headquartered in London, develops deep-learning AI software to identify malignancies in mammograms. RadNet subsidiary DeepHealth has acquired U.K.-based based AI cancer diagnostics company Kheiron Medical Technologies.

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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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Breast imaging AI algorithm influenced by patient characteristics

AuntMinnie

Nguyen and colleagues explored the impact of patient characteristics such as race and ethnicity, age, and breast density on the performance of an AI algorithm interpreting negative screening DBT exams performed between 2016 and 2019. The FDA-approved algorithm (ProFound AI 3.0, The study included 4,855 women with a median age of 54 years.

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