Deep learning workflow in radiology

This article provides an overview of clinical use of deep learning, explains the creation of a multi-disciplinary team and summarizes current approaches to patient, data, model, and hardware selection. The authors also illustrate the workflow and discuss the challenges such as ethical considerations.

Article: Deep learning workflow in radiology: a primer

Authors: Emmanuel Montagnon, Milena Cerny, Alexandre Cadrin-Chênevert, Vincent Hamilton, Thomas Derennes, André Ilinca, Franck Vandenbroucke-Menu, Simon Turcotte, Samuel Kadoury and An Tang