Artificial intelligence in gastric cancer: a systematic review of machine learning and deep learning applications.
- DOI
- 10.1007/s00261-025-05181-7
- Published
- 2025-09-11
- Container
- Abdom Radiol (NY)
- Publisher
- Not recorded
- Open access
- no
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:10.1007/s00261-025-05181-7,
title = {Artificial intelligence in gastric cancer: a systematic review of machine learning and deep learning applications.},
author = {Alsallal M and Habeeb MS and Vaghela K and Malathi H and Vashisht A and Sahu PK and Singh D and Al-Hussainy AF and Aljanaby IA and Sameer HN and Athab ZH and Adil M and Yaseen A and Farhood B.},
year = {2026},
journal = {Abdom Radiol (NY)},
doi = {10.1007/s00261-025-05181-7},
url = {https://doi.org/10.1007/s00261-025-05181-7}
}RIS
TY - JOUR TI - Artificial intelligence in gastric cancer: a systematic review of machine learning and deep learning applications. AU - Alsallal M AU - Habeeb MS AU - Vaghela K AU - Malathi H AU - Vashisht A AU - Sahu PK AU - Singh D AU - Al-Hussainy AF AU - Aljanaby IA AU - Sameer HN AU - Athab ZH AU - Adil M AU - Yaseen A AU - Farhood B. PY - 2026 JO - Abdom Radiol (NY) DO - 10.1007/s00261-025-05181-7 UR - https://doi.org/10.1007/s00261-025-05181-7 ER -
APA
M, A., MS, H., K, V., H, M., A, V., PK, S., D, S., AF, A., IA, A., HN, S., ZH, A., M, A., A, Y., & B., F. (2026). Artificial intelligence in gastric cancer: a systematic review of machine learning and deep learning applications.. Abdom Radiol (NY). https://doi.org/10.1007/s00261-025-05181-7
Source records
- europe-pmc · retrieved 2026-11-10T13:50:21.940Z