Breast image processing with AI is possibly one of the most significant areas of application for this technology. The paper, "A Review of Artificial Intelligence in Breast Imaging" by Dhurgham Al-Karawi et al examines the determining role of AI in improving diagnostic accuracy and optimizing workflow efficiency in the detection and management of breast cancer. This review explores the use of AI in mammography, ultrasound, and MRI, showcasing innovations in computer-aided detection (CADe) and diagnosis (CADx) systems. It also delves into the challenges of bringing those algorithms into clinical practice, including issues related to data quality, the interpretability of models, and ethical considerations.
The authors address the content in the following sections:
- Public breast cancer datasets
- Applying AI to mammography
- Applications of AI in ultrasound
- Applications of AI in MRI images
The discussion and conclusion of the paper offer valuable insights into the application of AI in breast imaging, highlighting common denominators frequently mentioned in the majority of papers on the use of these technologies in healthcare, including:
- Limited and imbalanced datasets
- Privacy concerns regarding sensitive medical data
- Ethical issues stemming from biases in datasets
- Regulatory hurdles before clinical deployment
