How to read and review papers on machine learning and artificial intelligence in radiology: a survival guide to key methodological concepts
In this article, the authors aimed to guide and inform the radiology community regarding key methodological aspects of machine learning (ML) in order to improve their academic reading and peer-review experience. This was done so within four broad categories: study design, data handling, modelling, and reporting. Key points Machine learning is new and rather complex for the radiology community. Validity,