Artificial intelligence-based algorithm for predicting outcomes in early-stage lung cancer: An annotation-free imaging artificial intelligence study.
- DOI
- 10.1016/j.xjon.2026.101742
- Published
- 2026 Jun
- Container
- JTCVS open
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
limited evidence Score 45/100 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.
- supportingOpen access status: Normalized open-access status: open.
- 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:10.1016/j.xjon.2026.101742,
title = {Artificial intelligence-based algorithm for predicting outcomes in early-stage lung cancer: An annotation-free imaging artificial intelligence study.},
author = {Aokage K and Ukita J and Miura M and Ogaki K and Kataoka T and Mitome N and Isaka M and Yotsukura M and Watanabe SI and Tsuboi M},
year = {2026},
journal = {JTCVS open},
doi = {10.1016/j.xjon.2026.101742},
url = {https://doi.org/10.1016/j.xjon.2026.101742}
}RIS
TY - JOUR TI - Artificial intelligence-based algorithm for predicting outcomes in early-stage lung cancer: An annotation-free imaging artificial intelligence study. AU - Aokage K AU - Ukita J AU - Miura M AU - Ogaki K AU - Kataoka T AU - Mitome N AU - Isaka M AU - Yotsukura M AU - Watanabe SI AU - Tsuboi M PY - 2026 JO - JTCVS open DO - 10.1016/j.xjon.2026.101742 UR - https://doi.org/10.1016/j.xjon.2026.101742 ER -
APA
K, A., J, U., M, M., K, O., T, K., N, M., M, I., M, Y., SI, W., & M, T. (2026). Artificial intelligence-based algorithm for predicting outcomes in early-stage lung cancer: An annotation-free imaging artificial intelligence study.. JTCVS open. https://doi.org/10.1016/j.xjon.2026.101742
Source records
- pubmed · retrieved 2026-09-25T20:41:52.694Z