Artificial intelligence in hysteroscopy: a systematic review and critical appraisal of validation and readiness for clinical use
- DOI
- 10.17605/osf.io/3w8e2
- Published
- 2026
- Container
- Not recorded
- Publisher
- OSF Registries
- Open access
- yes
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limited evidence Score 47/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.17605/osf.io/3w8e2,
title = {Artificial intelligence in hysteroscopy: a systematic review and critical appraisal of validation and readiness for clinical use},
author = {Sara Benoumhani and Nesrine T. Bahloul and Hana Hakim and Saima Jabeen and Zehor Belkhatir and Kais Chaabane and Mohamed A. Bahloul},
year = {2026},
doi = {10.17605/osf.io/3w8e2},
url = {https://doi.org/10.17605/osf.io/3w8e2}
}RIS
TY - JOUR TI - Artificial intelligence in hysteroscopy: a systematic review and critical appraisal of validation and readiness for clinical use AU - Sara Benoumhani AU - Nesrine T. Bahloul AU - Hana Hakim AU - Saima Jabeen AU - Zehor Belkhatir AU - Kais Chaabane AU - Mohamed A. Bahloul PY - 2026 DO - 10.17605/osf.io/3w8e2 UR - https://doi.org/10.17605/osf.io/3w8e2 ER -
APA
Benoumhani, S., Bahloul, N. T., Hakim, H., Jabeen, S., Belkhatir, Z., Chaabane, K., & Bahloul, M. A. (2026). Artificial intelligence in hysteroscopy: a systematic review and critical appraisal of validation and readiness for clinical use. https://doi.org/10.17605/osf.io/3w8e2
Source records
- datacite · retrieved 2026-11-09T12:13:37.189Z