Can We Trust Deep Learning Based Diagnosis? The Impact of Domain Shift in Chest Radiograph Classification
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Appropriately investigating variety of data sources can provide a strong indication for the applicability and generalisability of the ML application in different environments.
“Appropriately investigating such questions can provide a strong indication for the applicability and generalisability of the ML application in different environments220–223.”
From The METRIC-framework for assessing data quality for trustworthy AI in medicine: A systematic review (2024) · cites this paper as [222]
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Torralba, A., & Efros, A. A. (2011) · CVPR 2011 · doi:10.1109/cvpr.2011.5995347 · Cited by 2,440 · see citing works
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Domain adaptation for medical image analysis: A survey
Guan, H., & Liu, M. (2022) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2021.3117407 · Cited by 1,057 · see citing works
Liu, X., Rivera, S. C., Moher, D., Calvert, M. J., & Denniston, A. K. (2020) · BMJ · doi:10.1136/bmj.m3164 · Cited by 702 · see citing works
The current and future state of AI interpretation of medical images
Rajpurkar, P., & Lungren, M. P. (2023) · New England Journal of Medicine · doi:10.1056/nejmra2301725 · Cited by 443 · see citing works
Tiu, E., Talius, E., Patel, P., Langlotz, C. P., Ng, A. Y., & Rajpurkar, P. (2022) · Nature Biomedical Engineering · doi:10.1038/s41551-022-00936-9 · Cited by 442 · see citing works
Data drift in medical machine learning: implications and potential remedies
Sahiner, B., Chen, W., Samala, R. K., & Petrick, N. (2023) · The British Journal of Radiology · doi:10.1259/bjr.20220878 · Cited by 279 · see citing works
Large language models in medical and healthcare fields: applications, advances, and challenges
Wang, D., & Zhang, S. (2024) · Artificial Intelligence Review · doi:10.1007/s10462-024-10921-0 · Cited by 246 · see citing works
Liu, X., Glocker, B., McCradden, M. M., Ghassemi, M., Denniston, A. K., & Oakden-Rayner, L. (2022) · The Lancet Digital Health · doi:10.1016/s2589-7500(22)00003-6 · Cited by 240 · see citing works
Hamamoto, R., Suvarna, K., Yamada, M., Kobayashi, K., Shinkai, N., Miyake, M., Takahashi, M., Jinnai, S., Shimoyama, R., Sakai, A., et al. (2020) · Cancers · doi:10.3390/cancers12123532 · Cited by 207 · see citing works
Mårtensson, G., Ferreira, D., Granberg, T., Cavallin, L., Oppedal, K., Padovani, A., Rektorova, I., Bonanni, L., Pardini, M., Kramberger, M. G., et al. (2020) · Medical Image Analysis · doi:10.1016/j.media.2020.101714 · Cited by 176 · see citing works
The METRIC-framework for assessing data quality for trustworthy AI in medicine: A systematic review
Schwabe, D., Becker, K., Seyferth, M., Klaß, A., & Schaeffter, T. (2024) · npj Digital Medicine · doi:10.1038/s41746-024-01196-4 · Cited by 169 · see citing works
Ben Ahmed, K., Hall, L. O., Goldgof, D. B., & Fogarty, R. (2022) · IEEE Access · doi:10.1109/access.2022.3193700 · Cited by 12 · see citing works
Sharafutdinov, K., Bhat, J. S., Fritsch, S. J., Nikulina, K., E. Samadi, M., Polzin, R., Mayer, H., Marx, G., Bickenbach, J., & Schuppert, A. (2022) · Frontiers in Big Data · doi:10.3389/fdata.2022.603429 · Cited by 10 · see citing works
- Authors
- Pooch, E. H. P., Ballester, P., & Barros, R. C.
- Affiliations
- Pontifícia Universidade Católica do Rio Grande do Sul (BR)
- McMaster University (CA)
- Corresponding author
- Pooch, Eduardo H. P.
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer International Publishing
- Published
- 2020
- Pages
- 74-83
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W3089347471
- Cited by
- 134
- References
- 1
- Citations by year
- 2026: 15 · 2025: 30 · 2024: 23 · 2023: 26 · 2022: 21 · 2021: 14 · 2020: 5
- FWCI
- 18.06
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- Lecture notes in computer science (publishedVersion)
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › COVID-19 diagnosis using AI
- Physical Sciences › Computer Science › Artificial Intelligence › Domain Adaptation and Few-Shot Learning
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Keywords
- domain shift, chest X-ray classification, generalization, medical image analysis, ChestX-ray14, CheXpert, MIMIC-CXR, model reliability, unseen data
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