Ali Kisalaei - Department of Biomedical Engineering, Facility of Advanced Medical Sciences, Islamic Azad University, Tabriz branch, Tabriz, Iran
Erfan Babazadeh Nanehkaran - Department of Biomedical Engineering, Facility of Advanced Medical Sciences, Islamic Azad University, Tabriz branch, Tabriz, Iran
Amir Shaygan Asl - Department of Biomedical Engineering, Facility of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran

Artificial intelligence is a fast-changing computerized technology that affects different aspects of our lives. In several professional areas, including medicine, artificial intelligence is supposed to contribute to a profound shift in practice. Digital imaging and picture recognition are some of the most important developments in artificial intelligence. "Artificial intelligence," "machine learning," and "deep learning" are terms that appear to be used interchangeably, but each has a distinct definition in terms of sophisticated computer algorithms. The practice of radiology will be changed by the advent of artificial intelligence, and the learning process of radiology will be equally affected. The rapid development and introduction of artificial intelligence/deep learning technologies into routine clinical imaging would lead to a significant change in radiology practice. To retrieve "radiomic" information from images that are not visually apparent, AI programs may be used to potentially increase the diagnostic and prognostic value extracted from image datasets. Over time, existing gaps in the availability of technical expertise and even computing capacity can be overcome and remote access solutions will also be tackled.

Artificial Intelligence, Machine Learning, Digital Imaging