Roberto Lo Gullo, Joren Brunekreef, Eric Marcus, Lynn K Han, Sarah Eskreis-Winkler, Sunitha B Thakur, Ritse Mann, Kevin Groot Lipman, Jonas Teuwen, Katja Pinker
In breast imaging, there is an unrelenting increase in the demand for breast imaging services, partly explained by continuous expanding imaging indications in breast diagnosis and treatment. As the human workforce providing these services is not growing at the same rate, the implementation of artificial intelligence (AI) in breast imaging has gained significant momentum to maximize workflow efficiency and increase productivity while concurrently improving diagnostic accuracy and patient outcomes. Thus far, the implementation of AI in breast imaging is at the most advanced stage with mammography and digital breast tomosynthesis techniques, followed by ultrasound, whereas the implementation of AI in breast magnetic resonance imaging (MRI) is not moving along as rapidly due to the complexity of MRI examinations and fewer available dataset...
April 5, 2024: Journal of Magnetic Resonance Imaging: JMRI