article thumbnail

AI's impact on false-positive mammograms, breast cancer screening performance

AuntMinnie

AI software based on deep-learning algorithms is showing promise, however, for helping to improve specificity in screening mammography and other breast imaging modalities. million mammograms were performed in the U.S. Although mammogram is the most widely used screening modality, a known problem is that 9.5%

Mammogram 264
article thumbnail

Hologic touts research findings of its AI breast cancer detection software performance

AuntMinnie

Friedewald and colleagues evaluated 7,519 consecutively selected digital breast tomosynthesis (DBT) examinations, 2,532 with cancer, using a breast imaging modality that had Hologic’s Genius AI Detection software installed.

IT 130
Insiders

Sign Up for our Newsletter

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

article thumbnail

ChatGPT demonstrates mixed results in assigning BI-RADS categories

AuntMinnie

ChatGPT demonstrates modest accuracy when assigning BI-RADS scores for mammograms and breast ultrasound exams, according to research published October 30 in Clinical Imaging. Previous reports suggest that large language models can correctly recommend appropriate imaging modalities for patients based on their clinical presentation.

Mammogram 264
article thumbnail

Low-dose PEM shows promise in breast cancer detection

AuntMinnie

Images obtained in a 50-year-old female patient with a new biopsy-proven malignant lesion in the left breast. (A) A) Craniocaudal mammogram of the right breast does not show any lesion. (B) B) The malignant lesion corresponds with a 7-cm irregular and spiculated mass on the left craniocaudal mammogram.

Mammogram 311
article thumbnail

First breast cancer factors impact mammo's ability to find future ones

AuntMinnie

A team led by Julie Hamzah, MBBS, from Singapore General Hospital, found that symptomatic first breast cancers, dense breasts, and the presence of trabecular thickening on mammography are tied to mammogram detection failure of ipsilateral second breast cancers.

Mammogram 147
article thumbnail

Breast MRI surveillance reduces disease recurrence

AuntMinnie

B) The right mediolateral oblique (RMLO) and (C) right craniocaudal (RCC) mammograms, obtained on the same day, show heterogeneously dense breast tissue that was assessed as being negative for cancer. (D)

Disease 264
article thumbnail

New AI training strategies stiffen defense against adversarial attacks

AuntMinnie

“Breast cancer imaging AI diagnosis is spearheading the field and there are more data available, so it is a better disease context to perform this study.” Using 4,346 mammogram images, Hao, Wu, and colleagues used a strategy called adversarial training to defend against two types of adversarial attacks presented in the images: 1.

Mammogram 317