Predetermined Change Control Plan Adoption and Documentation Transparency in U.S. Food and Drug Administration–cleared Radiology Artificial Intelligence/Machine Learning Devices
- DOI
- 10.1148/ryai.260385
- Published
- 2026-09-01
- Container
- Radiology: Artificial Intelligence
- Publisher
- Radiological Society of North America (RSNA)
- 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:10.1148/ryai.260385,
title = {Predetermined Change Control Plan Adoption and Documentation Transparency in U.S. Food and Drug Administration–cleared Radiology Artificial Intelligence/Machine Learning Devices},
author = {Ketan Dayma and Palak Patel and Kenneth Hildreth and Tamara Jamaspishvili},
year = {2026},
journal = {Radiology: Artificial Intelligence},
doi = {10.1148/ryai.260385},
url = {https://doi.org/10.1148/ryai.260385}
}RIS
TY - JOUR TI - Predetermined Change Control Plan Adoption and Documentation Transparency in U.S. Food and Drug Administration–cleared Radiology Artificial Intelligence/Machine Learning Devices AU - Ketan Dayma AU - Palak Patel AU - Kenneth Hildreth AU - Tamara Jamaspishvili PY - 2026 JO - Radiology: Artificial Intelligence DO - 10.1148/ryai.260385 UR - https://doi.org/10.1148/ryai.260385 ER -
APA
Dayma, K., Patel, P., Hildreth, K., & Jamaspishvili, T. (2026). Predetermined Change Control Plan Adoption and Documentation Transparency in U.S. Food and Drug Administration–cleared Radiology Artificial Intelligence/Machine Learning Devices. Radiology: Artificial Intelligence. https://doi.org/10.1148/ryai.260385
Source records
- crossref · retrieved 2026-09-25T05:40:09.220Z