I stumbled on this paper from a link; it has irrefutable arguments. I think it is worth your time. Roberts, Michael, Derek Driggs, Matthew Thorpe, Julian Gilbey, Michael Yeung, Stephan Ursprung, Angelica I. Aviles-Rivero, et al. 2021. “Common Pitfalls and Recommendations for Using Machine Learning to Detect and Prognosticate for COVID-19 Using Chest Radiographs and … Continue reading Common Pitfalls in Machine Learning for Radiology →