The DOI matches its Crossref record; 254 of the 265 references it cites were found in a registry or an index.
A systematic survey of computer-aided diagnosis in medicine: Past and present developments
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“Models that may perform well during development can degrade in real-world settings due to dataset drift across diverse sites, devices, and populations15–18.”
From What the AI era doctor should know: a scoping review of proposed artificial intelligence competencies for medical education (2026) · cites this paper as [15]
Citations
Cites
Breiman, L. (2001) · Machine Learning · doi:10.1023/a:1010933404324 · Cited by 133,538
LeCun, Y., Bengio, Y., & Hinton, G. (2015) · Nature · doi:10.1038/nature14539 · Cited by 84,126
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Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement
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Regression shrinkage and selection via the lasso
Tibshirani, R. (1996) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1996.tb02080.x · Cited by 51,482
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Preferred reporting items for systematic reviews and meta-analyses: the PRISMA Statement.
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Fully convolutional networks for semantic segmentation
Long, J., Shelhamer, E., & Darrell, T. (2015) · 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2015.7298965 · Cited by 38,834
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Research works printed but not linked: 6
- Beers, 1999, 17, 39
- Bramer, 1982, A survey and critical review of expert systems research, 3
- Lalkhen, 2008, Clinical tests: Sensitivity and specificity. Continuing education in Anaesthesia, Critical Care & Pain, 8, 221
- Szklo, 2014, Epidemiology
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- Vandenberg, 1960, Medical diagnosis by computer: Recent attempts and outlook for the future, Behavioral Science, 5, 170
Cited by
Sorted by citations
Items 301–303 of 303
Söntgerath, M., Cutini, S., Thöne-Otto, A. I. T., Engel, A., Regenbrecht, F., Polyakova, M., Mueller, K., Scherf, N., Böhm, F., Anderl‐Straub, S., et al. (2026) · Frontiers in Dementia · doi:10.3389/frdem.2026.1757680
Census-based adolescent depression risk assessment: A novel method and reflections
Li, Q., Tang, Y., Shi, Y., Wu, Y., Xu, Z., Zhou, H., & Zhang, J. J. (2026) · PLoS ONE · doi:10.1371/journal.pone.0357661
Novel Transparent Machine Learning Algorithm - Predicting Sepsis from Routine ED Data.Preprint
Timney, A., Honeyford, K., & Costello, C. (2026) · Research Square · doi:10.21203/rs.3.rs-10443491/v1
Metadata
- Authors
- Yanase, J., & Triantaphyllou, E.
- Affiliations
- Louisiana State University (US)
- Corresponding author
- Triantaphyllou, Evangelos
- Venue
- Expert Systems with Applications
- Publisher
- Elsevier BV
- Published
- 2019-12
- Volume
- 138
- Pages
- 112821
- ISSN
- 0957-4174 (ISSN-L)
- OpenAlex
- W2959687571
- Cited by
- 303
- References
- 265
- Citations by year
- 2026: 15 · 2025: 43 · 2024: 51 · 2023: 64 · 2022: 63 · 2021: 46 · 2020: 18 · 2019: 3
- FWCI
- 35.61
- Type
- journal article
- Language
- en
- Open access
- Locations
- Expert Systems with Applications (publishedVersion)
- Civil War Book Review (submittedVersion)
- Topics
- Health Sciences › Health Professions › Health Information Management › Artificial Intelligence in Healthcare
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Technology and Human Factors in Education and Health
- Keywords
- computer-aided diagnosis, expert systems, intelligent systems, medical data processing, clinical decision-making
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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