Medical image analyzers including computer-assisted/aided detection (CADe) devices for mammography breast cancer and other analyzers are important systems that help doctors interpret medical images.

Medical image analyzers including computer-assisted/aided detection (CADe) devices for mammography breast cancer and other analyzers are important systems that help doctors interpret medical images.
Source: Food and Drug Adminstration (FDA): CDRHNew - Category: Medical Devices Authors: Source Type: news

Related Links:

ConclusionsUS may underestimate breast tumor size. Treatment decisions that take into account tumor size can be made equally reliably in patients with high or low breast density.
Source: European Journal of Surgical Oncology (EJSO) - Category: Surgery Source Type: research
An artificial intelligence (AI) algorithm outperforms radiologists for detecting breast cancer on mammography, according to a retrospective study.Reuters Health Information
Source: Medscape Pathology Headlines - Category: Pathology Tags: Hematology-Oncology News Source Type: news
ConclusionsThe obtained results showed that the proposed method was quite efficient in histopathological image classification. Despite the relative simplicity of the approach, the obtained results were far superior to previously reported results.Graphical abstract
Source: IRBM - Category: Biomedical Engineering Source Type: research
Publication date: Available online 20 February 2020Source: Academic RadiologyAuthor(s): Brian N. Dontchos, Adam Yala, Regina Barzilay, Justin Xiang, Constance D. LehmanRationale and ObjectivesFederal legislation requires patient notification of dense mammographic breast tissue because increased density is a marker of breast cancer risk and can limit the sensitivity of mammography. As previously described, we clinically implemented our deep learning model at the academic breast imaging practice where the model was developed with high clinical acceptance. Our objective was to externally validate our deep learning model on ra...
Source: Academic Radiology - Category: Radiology Source Type: research
Contrast-enhanced (CE) mammography might be better suited than contrast-enhanced...Read more on AuntMinnie.comRelated Reading: MRI finds cancer missed on clinical breast exams Study supports interval MRI for likely benign findings MRI finds breast cancer early in women with family history Contrast mammo equals MRI for measuring tumor size Study finds contrast mammo an alternative to breast MRI
Source: Headlines - Category: Radiology Source Type: news
ConclusionsApplying the Kaiser score to breast MRI allows stratifying the risk of breast cancer in lesions that present as suspicious calcifications on mammography and may thus avoid unnecessary breast biopsies.Key Points• The Kaiser score is a helpful clinical decision tool for distinguishing malignant from benign breast lesions that present as calcifications on mammography.• Application of the Kaiser score may obviate 58.3–65.3% of unnecessary stereotactic biopsies of suspicious calcifications.• High Kaiser scores predict breast cancer with high specificity, aiding clinical decision-making with regar...
Source: European Radiology - Category: Radiology Source Type: research
Screening mammography can improve triple-negative breast cancer survival rates for African-American women.
Source: Diagnostic Imaging - Category: Radiology Authors: Tags: Breast Cancer Mammography Screening Source Type: news
(JAMA Network) Researchers compared treatment and survival rates between African American and white women following early detection with mammography of triple-negative breast cancer. African-American women have a higher rate of death from breast cancer compared with white women, a disparity partly explained by a higher rate of this aggressive breast cancer.
Source: EurekAlert! - Cancer - Category: Cancer & Oncology Source Type: news
This cohort study examines triple-negative breast cancer detection via mammography screening, treatment, and survival rates in African American and white American women.
Source: JAMA Surgery - Category: Sports Medicine Source Type: research
A recent study found that false positive breast biopsies cost the healthcare system over $2 billion per year. According to the National Cancer Institute, mammograms miss about 20% of breast cancers while one in 10 women receive a false positive result. Jamie Yuccas spoke with researchers at Google and UCLA who have developed an artificial intelligence program to help better diagnose mammograms and biopsies. Dr. Susan Grossman joins "CBS This Morning" to explain the need for the new technology.
Source: Health News: - Category: Consumer Health News Source Type: news
More News: Breast Cancer | Cancer | Cancer & Oncology | Computers | Mammography | Medical Devices