Developments in artificial neural networks (ANNs) offer significant promise for cancer screening and risk prediction, with the potential to improving patient outcomes. Ensuring complete and transparent reporting of study methodologies is important for ensuring model reproducibility. This review aims to evaluate the completeness of reporting of imaging studies that utilise ANN models for cancer screening and characterisation.