The penetration of AI technology into medicine greatly affects the early diagnosis of such serious ailments as diabetes, Alzheimer’s disease, heart disease, and others. Early diagnosis allows you to effectively deal with diseases, increases the chances of complete healing. IBM engineers announced the development of an AI-based program to diagnose early-stage breast cancer with a probability of 87% a year before its appearance.
The AI technology has already been used to predict oncology and has been based on the processing of mammogram data or medical records. An application created by IBM developers uses a hybrid approach that manipulates the data of mammograms and the doctors’ records. This approach increases the reliability of forecasting.
The IBM methodology is based on training AI to interpret a wide variety of mammograms, their interaction with biological markers, and physician records. This approach increases the accuracy of prediction and reduces the likelihood of a false diagnosis. IBM also receives additional data for analysis, based on biopsy information, laboratory tests, the historical registry of cancer and other sources.
The AI algorithm will not become the main and only tool for predicting oncological diseases. This will be an additional information tool that will allow specialists to identify the patient’s predisposition to the oncological mammary gland disease in a timely manner. The neural network will help to confirm the diagnosis of the radiologist and start treatment without additional examination, which is very important in case of a rapid disease, or lack of equipment and specialists for additional analyzes.