Medical Artificial Intelligence

Medical Artificial Intelligence (AI), deep learning and neural networks use computer techniques to perform clinical diagnoses and suggest treatments. AI has the capability of detecting essential relationships in a data set and has been broadly used in numerous clinical situations to diagnose, treat and predict the results.  The medical artificial intelligence algorithm called DLAD (Deep Learning-based Automatic Detection) was employed to analyse chest radiographs to detect abnormal cell growth, such as cancer. The algorithm proved to outperform radiologists in the detection of abnormalities.  In another example, a learning algorithm, LYNA (Lymph Node Assistant), was used to analysed histology slides stained tissue samples. The aim was to identify metastatic breast cancer tumours from lymph node biopsies.  LYNA was tested on two datasets and shown to accurately classify a sample as cancerous or noncancerous correctly in 99% of the time.

Open Medscience