RPS 1002 - Exploring the role of artificial intelligence in breast imaging

A 10-year image-derived AI risk model for use in primary prevention of breast cancer

Cracking the Code: Predicting Pathogenic Mutations in Breast Cancer with Ultrasound Radiomics

Do we still need to double read the most suspicious screening mammograms when using AI for decision support? A sub-analysis from the AITIC breast cancer screening prospective trial

Benefits and risks of AI use for reviewing negative screening mammograms

Patient perceptions and attitudes towards the use of AI in the symptomatic breast unit

The effect of an artificial intelligence decision support system on radiologists’ screening mammography performance and visual search patterns

Mammographic features of false positive AI markings on screening mammograms from BreastScreen Norway

Re-attendance in BreastScreen Norway after a false positive screening result

The application of artificial intelligence to enhance the identification of previously missed non-palpable breast carcinomas

AI-assisted Breast Mass Classification in Digital Breast Tomosynthesis (DBT): Applicability and insights from a single academic centre

Multi-site validation of an image-based AI breast cancer risk model for mammography to drive personalized screening after a negative screening

Replacing one radiologist with AI for independent double reading in mammographic screening