RT Journal Article
SR Electronic
T1 The utilization of artificial intelligence applications to improve breast cancer detection and prognosis
JF Saudi Medical Journal
JO Saudi Med J
FD Prince Sultan Military Medical City
SP 119
OP 127
DO 10.15537/smj.2023.44.2.20220611
VO 44
IS 2
A1 Alsharif, Walaa M.
YR 2023
UL http://smj.org.sa/content/44/2/119.abstract
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.