Artificial Intelligence in Medicine: Validation and Study Design
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
This method of human-machine comparison is similar to typical methods and one we have used previously.
“This method of human–machine comparison is similar to typical methods and one we have used previously34,35.”
From Detecting structural heart disease from electrocardiograms using AI (2025) · cites this paper as [34]
Cites
The ASA Statement on <i>p</i> -Values: Context, Process, and Purpose
Wasserstein, R. L., & Lazar, N. A. (2016) · The American Statistician · doi:10.1080/00031305.2016.1154108 · Cited by 6,306 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Detecting structural heart disease from electrocardiograms using AI
Poterucha, T. J., Jing, L., Ricart, R. P., Adjei-Mosi, M., Finer, J., Hartzel, D., Kelsey, C., Long, A., Rocha, D., Ruhl, J. A., et al. (2025) · Nature · doi:10.1038/s41586-025-09227-0 · Cited by 116 · see citing works
- Authors
- Oakden-Rayner, L., & Palmer, L. J.
- Affiliations
- The University of Adelaide (AU)
- Corresponding author
- Palmer, Lyle John
- ORCID
- Palmer, Lyle John
- Venue
- Artificial Intelligence in Medical Imaging
- Publisher
- Springer International Publishing
- Published
- 2019
- Pages
- 83-104
- OpenAlex
- W2913446045
- Cited by
- 14
- References
- 1
- Citations by year
- 2025: 2 · 2024: 3 · 2023: 4 · 2022: 1 · 2021: 2 · 2020: 1 · 2019: 1
- FWCI
- 1.15
- Type
- book chapter
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Springer eBooks (publishedVersion)
- Topics
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Health Sciences › Health Professions › Health Information Management › Artificial Intelligence in Healthcare
- Physical Sciences › Computer Science › Artificial Intelligence › Machine Learning in Healthcare
- Keywords
- artificial intelligence in healthcare, research design, clinical translation
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.
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