Artificial Intelligence in Radiology

I wrote this article at Alexandria (VA) during the first meeting on artificial intelligence in medical imaging, C-MIMI (Conference on Machine Intelligence in Medical Imaging), organized by SIIM (Society for Imaging Informatics in Medicine). Almost 200 participants attended 16 presentations of scientific papers, classes and lectures. The abstract presenters didn't just attend to showcase the results of their research, but also for the variety of topics covered. From algorithms for reading bone age to the prediction of deletion of the chromosomal arm 1p / 19q in low-grade gliomas, it is difficult to find an area in radiology in which the techniques of machine learning cannot be applied. The idea of using computers for evaluating medical images is not new.