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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]
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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
About these checks
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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