PT - JOURNAL ARTICLE AU - Walaa M. Alsharif TI - The utilization of artificial intelligence applications to improve breast cancer detection and prognosis AID - 10.15537/smj.2023.44.2.20220611 DP - 2023 Feb 01 TA - Saudi Medical Journal PG - 119--127 VI - 44 IP - 2 4099 - http://smj.org.sa/content/44/2/119.short 4100 - http://smj.org.sa/content/44/2/119.full SO - Saudi Med J2023 Feb 01; 44 AB - Breast imaging faces challenges with the current increase in medical imaging requests and lesions that breast screening programs can miss. Solutions to improve these challenges are being sought with the recent advancement and adoption of artificial intelligent (AI)-based applications to enhance workflow efficiency as well as patient-healthcare outcomes. rtificial intelligent tools have been proposed and used to analyze different modes of breast imaging, in most of the published studies, mainly for the detection and classification of breast lesions, breast lesion segmentation, breast density evaluation, and breast cancer risk assessment. This article reviews the background of the Conventional Computer-aided Detection system and AI, AI-based applications in breast medical imaging for the identification, segmentation, and categorization of lesions, breast density and cancer risk evaluation. In addition, the challenges, and limitations of AI-based applications in breast imaging are also discussed.