Improving the performance of radiology report de-identification with large-scale training and benchmarking against cloud vendor methods
- DOI
- 10.1186/s12911-026-03744-2
- Published
- 2026-08-10
- Container
- BMC Medical Informatics and Decision Making
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
Credibility signals
uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- supportingDOI registered: A matching record was returned by Crossref.
- supportingDOI resolves: A matching record was returned by Crossref.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredOpen access status: Not checked or no result supplied; no credibility inference made.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- supportingMetadata completeness: All 6 scored descriptive metadata groups are present.
Cite this work
BibTeX
@article{allodium:10.1186/s12911-026-03744-2,
title = {Improving the performance of radiology report de-identification with large-scale training and benchmarking against cloud vendor methods},
author = {Eva Prakash and Maayane Attias and Pierre Chambon and Justin Xu and Steven Truong and Jean-Benoit Delbrouck and Tessa Cook and Curtis Langlotz},
year = {2026},
journal = {BMC Medical Informatics and Decision Making},
doi = {10.1186/s12911-026-03744-2},
url = {https://doi.org/10.1186/s12911-026-03744-2}
}RIS
TY - JOUR TI - Improving the performance of radiology report de-identification with large-scale training and benchmarking against cloud vendor methods AU - Eva Prakash AU - Maayane Attias AU - Pierre Chambon AU - Justin Xu AU - Steven Truong AU - Jean-Benoit Delbrouck AU - Tessa Cook AU - Curtis Langlotz PY - 2026 JO - BMC Medical Informatics and Decision Making DO - 10.1186/s12911-026-03744-2 UR - https://doi.org/10.1186/s12911-026-03744-2 ER -
APA
Prakash, E., Attias, M., Chambon, P., Xu, J., Truong, S., Delbrouck, J., Cook, T., & Langlotz, C. (2026). Improving the performance of radiology report de-identification with large-scale training and benchmarking against cloud vendor methods. BMC Medical Informatics and Decision Making. https://doi.org/10.1186/s12911-026-03744-2
Source records
- crossref · retrieved 2026-11-07T12:35:00.631Z