How AI is Changing the Game in Breast Imaging

"The healthcare community continues to strive for early detection of breast cancers — primarily through screening mammography, which is known to be an effective method for detecting early breast cancers and has been shown to reduce breast cancer-specific mortality. Other powerful imaging modalities such as breast ultrasound and magnetic resonance imaging (MRI) are also frequently utilized for some cases in breast cancer detection. To aid clinicians in finding these cancers, artificial intelligence (AI)-based tools have been introduced and show great promise in increasing diagnostic accuracy, as well as creating substantial improvements in productivity.

Interest in AI in healthcare is on the rise, with $4 billion invested into the sector in 2019, up from $2.7 billion in 2018. While many AI-based solutions have already been adopted into healthcare environments to support specific processes and tasks, new AI solutions and machine learning algorithms have been introduced in breast imaging to assist radiologists in the detection of breast cancers. Deep learning, which is a subset of AI, utilizes neural network models with many levels of features or variables that help predict patient outcomes. Using these deep-learning tools and also radiomics, which is the detection of clinically relevant features in imaging data beyond what can be perceived by the human eye, clinicians are aided in oncology-oriented image analysis..." Lire la suite