Exploring the impact of artificial intelligence on radiation dose reduction in urological imaging: a systematic review from EAU endourology
- DOI
- 10.1007/s00345-026-06777-4
- Published
- 2026-09-26
- Container
- World Journal of Urology
- 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:10.1007/s00345-026-06777-4,
title = {Exploring the impact of artificial intelligence on radiation dose reduction in urological imaging: a systematic review from EAU endourology},
author = {Theo Clark and Samuel Murphy and Solomon Bracey and Ali Talyshinskii and Arman Tsaturyan and Steffi Kar Kei Yuen and Carlotta Nedbal and Selcuk Guven and Vineet Gauhar and Frederic Panthier and Bhaskar K. Somani},
year = {2026},
journal = {World Journal of Urology},
doi = {10.1007/s00345-026-06777-4},
url = {https://doi.org/10.1007/s00345-026-06777-4}
}RIS
TY - JOUR TI - Exploring the impact of artificial intelligence on radiation dose reduction in urological imaging: a systematic review from EAU endourology AU - Theo Clark AU - Samuel Murphy AU - Solomon Bracey AU - Ali Talyshinskii AU - Arman Tsaturyan AU - Steffi Kar Kei Yuen AU - Carlotta Nedbal AU - Selcuk Guven AU - Vineet Gauhar AU - Frederic Panthier AU - Bhaskar K. Somani PY - 2026 JO - World Journal of Urology DO - 10.1007/s00345-026-06777-4 UR - https://doi.org/10.1007/s00345-026-06777-4 ER -
APA
Clark, T., Murphy, S., Bracey, S., Talyshinskii, A., Tsaturyan, A., Yuen, S. K. K., Nedbal, C., Guven, S., Gauhar, V., Panthier, F., & Somani, B. K. (2026). Exploring the impact of artificial intelligence on radiation dose reduction in urological imaging: a systematic review from EAU endourology. World Journal of Urology. https://doi.org/10.1007/s00345-026-06777-4
Source records
- crossref · retrieved 2026-09-27T09:54:25.158Z