Type:
Educational Exhibit
Keywords:
Artificial Intelligence, CT, MR, Computer Applications-Detection, diagnosis, Image verification
Authors:
R. Schlegel; Melbourne, VIC/AU
DOI:
10.26044/ranzcr2021/R-0009
Learning objectives
Artificial intelligence in recent years has demonstrated extraordinary progress in image-recognition tasks. Machine learning is a subfield of artificial intelligence that utilises mathematical algorithms and programs that allows computers to learn automatically with minimal or no human intervention. There is both considerable excitement and anxiety concerning the impact of machine learning on radiological practice. Traditionally, physicians are trained to visually and qualitatively assess medical images for detection and characterisation of disease. However, machine learning can recognise complex patterns in imaging data and provide a quantitative assessment of radiological findings to guide clinical diagnosis and management. Here, we aimed to provide an educational and pictorial exhibit describing the evolving role of machine learning in radiological diagnosis and clinical management of disease.