Predicting sperm retrieval success in salvage testicular sperm extraction: a machine learning perspective.
- DOI
- 10.1038/s41443-026-01291-y
- Published
- 2026 May 20
- Container
- International journal of impotence research
- Publisher
- Not recorded
- Open access
- unknown
Credibility signals
limited evidence Score 43/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- cautionDOI registered: No matching Crossref record was present in this response.
- cautionDOI resolves: No matching Crossref record was present in this response.
- 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.
- cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty.
Cite this work
BibTeX
@article{allodium:10.1038/s41443-026-01291-y,
title = {Predicting sperm retrieval success in salvage testicular sperm extraction: a machine learning perspective.},
author = {Hazir B and Sahin A and Gultekin MH and Ozer C and Kayra MV and Hasirci E and Ceyhan E and Altan M and Cicek T and Kizilkan Y and Duran MB and İbis MA and Ceker G and Sah C and Akdogan N and Ure İ and Albaz AC and Baser A and Gül M},
year = {2026},
journal = {International journal of impotence research},
doi = {10.1038/s41443-026-01291-y},
url = {https://doi.org/10.1038/s41443-026-01291-y}
}RIS
TY - JOUR TI - Predicting sperm retrieval success in salvage testicular sperm extraction: a machine learning perspective. AU - Hazir B AU - Sahin A AU - Gultekin MH AU - Ozer C AU - Kayra MV AU - Hasirci E AU - Ceyhan E AU - Altan M AU - Cicek T AU - Kizilkan Y AU - Duran MB AU - İbis MA AU - Ceker G AU - Sah C AU - Akdogan N AU - Ure İ AU - Albaz AC AU - Baser A AU - Gül M PY - 2026 JO - International journal of impotence research DO - 10.1038/s41443-026-01291-y UR - https://doi.org/10.1038/s41443-026-01291-y ER -
APA
B, H., A, S., MH, G., C, O., MV, K., E, H., E, C., M, A., T, C., Y, K., MB, D., MA, İ., G, C., C, S., N, A., İ, U., AC, A., A, B., & M, G. (2026). Predicting sperm retrieval success in salvage testicular sperm extraction: a machine learning perspective.. International journal of impotence research. https://doi.org/10.1038/s41443-026-01291-y
Source records
- pubmed · retrieved 2026-09-26T15:58:23.043Z