Artificial intelligence (AI) in the detection of rectosigmoid deep endometriosis

Stefano Guerriero, S. Guerriero, MariaAngela Pascual, M. Pascual, Silvia Ajossa, S. Ajossa, Manuela Neri, Eleonora Musa, Betlem Graupera, B. Graupera, Ignacio Rodríguez, Ignacio Rodriguez, Juan Luis Alcazar, Juan Luis Alcázar
European journal of obstetrics, gynecology, and reproductive biology · 2021 · vol. 261 , pp. 29–33 · doi:10.1016/j.ejogrb.2021.04.012 · PMID:33873085 · W3154517988
article OA: closed CC0 ⤵ 27 in-corpus citations
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⚙ AI-generated summary by claude@2026-06, 2026-06-07 ⓘ

This study investigated the efficacy of an artificial intelligence model in detecting deep rectosigmoid endometriosis from medical images.

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Condition tags

endometriosis

MeSH descriptors

Endometriosis Endometriosis Artificial Intelligence Bayes Theorem Female Humans Sensitivity and Specificity Ultrasonography

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europepmc
last seen: 2026-06-22T06:15:23.361955+00:00
openalex
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pubmed
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License: CC0 · commercial use OK