Endoscopic Artificial Intelligence for Invasion-Depth Prediction in Superficial Upper Gastrointestinal Cancer: A Diagnostic Test Accuracy Meta-Analysis.
- DOI
- 10.1016/j.gie.2026.09.022
- Published
- 2026 Sep 18
- Container
- Gastrointestinal endoscopy
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.gie.2026.09.022,
title = {Endoscopic Artificial Intelligence for Invasion-Depth Prediction in Superficial Upper Gastrointestinal Cancer: A Diagnostic Test Accuracy Meta-Analysis.},
author = {Lee H and Min YW and Kim S and Yoo H and Kim TJ},
year = {2026},
journal = {Gastrointestinal endoscopy},
doi = {10.1016/j.gie.2026.09.022},
url = {https://doi.org/10.1016/j.gie.2026.09.022}
}RIS
TY - JOUR TI - Endoscopic Artificial Intelligence for Invasion-Depth Prediction in Superficial Upper Gastrointestinal Cancer: A Diagnostic Test Accuracy Meta-Analysis. AU - Lee H AU - Min YW AU - Kim S AU - Yoo H AU - Kim TJ PY - 2026 JO - Gastrointestinal endoscopy DO - 10.1016/j.gie.2026.09.022 UR - https://doi.org/10.1016/j.gie.2026.09.022 ER -
APA
H, L., YW, M., S, K., H, Y., & TJ, K. (2026). Endoscopic Artificial Intelligence for Invasion-Depth Prediction in Superficial Upper Gastrointestinal Cancer: A Diagnostic Test Accuracy Meta-Analysis.. Gastrointestinal endoscopy. https://doi.org/10.1016/j.gie.2026.09.022
Source records
- pubmed · retrieved 2026-09-26T11:11:45.732Z