CheXternal: Generalization of Deep Learning Models for Chest X-ray Interpretation to Photos of Chest X-rays and External Clinical Settings

Understand

Recent advances in training deep learning models have demonstrated the potential to provide accurate chest X-ray interpretation and increase access to radiology expertise.

• However, poor generalization due to data distribution shifts in clinical settings is a key barrier to implementation.
• In this study, we measured the diagnostic performance for 8 different chest X-ray models when applied to (1) smartphone photos of chest X-rays and (2) external datasets without any finetuning.
• All models were developed by different groups and submitted to the CheXpert challenge, and re-applied to test datasets without further tuning.