External Validation of Deep Learning Algorithms for Radiologic Diagnosis: A Systematic Review
Johns Hopkins University · Johns Hopkins Medicine
Abstract
Purpose To assess generalizability of published deep learning (DL) algorithms for radiologic diagnosis. Materials and Methods In this systematic review, the PubMed database was searched for peer-reviewed studies of DL algorithms for image-based radiologic diagnosis that included external validation, published from January 1, 2015, through April 1, 2021. Studies using nonimaging features or incorporating non-DL methods for feature extraction or classification were excluded. Two reviewers independently evaluated studies for inclusion, and any discrepancies were resolved by consensus. Internal and external performance measures and pertinent study characteristics were extracted, and relationships among these data…
Citation impact
- FWCI
- 16.31
- Percentile
- 100%
- References
- 118
Authors
3Topics & keywords
- Medicine
- Generalizability theory
- Algorithm
- Machine learning
- Artificial intelligence
- Nonparametric statistics
- External validity
- Informatics