Contribution of artificial intelligence to training and diagnosis in medical radiology

Abstract

[EN] Recent advances in deep learning algorithms, the latest technologies in medical image processing and medical training and support systems for radiologists are changing the course of teaching and clinical practice. Through the use and incorporation of artificial intelligence techniques, systems are beginning to be created that are capable of performing tasks that normally require human intelligence, such as image recognition, natural language processing, machine learning and decision making. The integration of these procedures as additional tools in clinical practice requires a validation assessment by the radiological professionals who may use them. Therefore, our aim with this study is to find out the opinion of radiological professionals of different categories and ages, in order to assess whether the incorporation of artificial intelligence in this field is of interest to specialists in radiodiagnosis.