Medical imaging informatics, more than ‘just’ deep learning

Excerpt

The past years, medical imaging informatics research has increasingly been dominated by Artificial Intelligence (AI) as the primary topic and then especially deep learning (DL). DL applications for detection, segmentation, diagnosis and prediction are an ever-growing part of the abstracts received in international conferences and the main topic of many courses and meetings. However, the field of medical imaging informatics as defined in the ESR Training Curriculum includes a multitude of different topics (https://​www.​myesr.​org/​education/​training-curricula). Because of this, also this year, we still see a variety of abstracts covering the most recent developments in different medical imaging informatics topics. This year, this resulted in 27 orally presented abstracts from all over the world in roughly 12 different topics. This number is excluding all abstracts that were submitted to the section of AI and DL. Two main Imaging Informatics topics are the increased use of radiomics & texture analysis and the more extensive application of Business Analytics and data mining. …