article thumbnail

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.

article thumbnail

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.

Mammogram 110
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

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.

article thumbnail

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 ).

article thumbnail

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

Mammogram 104
article thumbnail

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.

article thumbnail

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. Something in mammograms allows us to track breast cancer risk. All the women were followed until 2021.