Background There is considerable interest in the potential use of artificial intelligence (AI)
systems in mammographic screening. However, it is essential to critically evaluate the …

The collection of increasing amounts of data in health care has become relevant for pain
therapy and research. This poses problems for analyses with classical approaches, which is …

Predictive artificial intelligence (AI) systems based on deep learning have been shown to
achieve expert-level identification of diseases in multiple medical imaging settings, but can …

Background Artificial intelligence (AI) as an independent reader of screening mammograms
has shown promise, but there are few prospective studies. Our aim was to conduct a …

Artificial intelligence (AI) has the potential to improve breast cancer screening; however,
prospective evidence of the safe implementation of AI into real clinical practice is limited. A …

Image-based prediction models for disease detection are sensitive to changes in data
acquisition such as the replacement of scanner hardware or updates to the image …

ADMANI: Annotated Digital Mammograms and Associated Non-Image Datasets | Radiology:
Artificial Intelligence RSNA "skipMainNavigation" closeDrawerMenuopenDrawerMenu Home …

evolved separately and have never worked together well. Thus, it is not surprising that
radiologists often work with disjointed system integrations and clashing user interfaces …

Medical imaging techniques, such as mammography, ultrasound and magnetic resonance
imaging, plays an integral role in the detection and characterization of breast cancer …

Recently, a wide spectrum of artificial intelligence (AI)–based applications in the broader
categories of digital pathology, biomarker development, and treatment have been explored …