Artificial intelligence potential in ovarian endometriosis imaging: a comparative meta-analysis of transvaginal ultrasound-based AI models and human readers.
- DOI
- 10.1007/s00261-026-05570-6
- Published
- 2026 May 26
- Container
- Abdominal radiology (New York)
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1007/s00261-026-05570-6,
title = {Artificial intelligence potential in ovarian endometriosis imaging: a comparative meta-analysis of transvaginal ultrasound-based AI models and human readers.},
author = {Mohebbi A and Zare M and Mohammadi A and Hudelist G and Basta P and Balogh B and Rajendra Acharya U and Abbasian Ardakani A and Hatamikia S},
year = {2026},
journal = {Abdominal radiology (New York)},
doi = {10.1007/s00261-026-05570-6},
url = {https://doi.org/10.1007/s00261-026-05570-6}
}RIS
TY - JOUR TI - Artificial intelligence potential in ovarian endometriosis imaging: a comparative meta-analysis of transvaginal ultrasound-based AI models and human readers. AU - Mohebbi A AU - Zare M AU - Mohammadi A AU - Hudelist G AU - Basta P AU - Balogh B AU - Rajendra Acharya U AU - Abbasian Ardakani A AU - Hatamikia S PY - 2026 JO - Abdominal radiology (New York) DO - 10.1007/s00261-026-05570-6 UR - https://doi.org/10.1007/s00261-026-05570-6 ER -
APA
A, M., M, Z., A, M., G, H., P, B., B, B., U, R. A., A, A. A., & S, H. (2026). Artificial intelligence potential in ovarian endometriosis imaging: a comparative meta-analysis of transvaginal ultrasound-based AI models and human readers.. Abdominal radiology (New York). https://doi.org/10.1007/s00261-026-05570-6
Source records
- pubmed · retrieved 2026-09-26T09:41:16.829Z