Artificial Intelligence in Gynecologic Imaging.

What was done? A review of artificial intelligence (AI) applications for the imaging of uterine fibroids, endometriosis, and adenomyosis. What was found? AI models can assist with the recognition, segmentation, and localization of uterine fibroids, and the differentiation of benign fibroids and sarc...

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Detalles Bibliográficos
Publicado en:Clinical Obstetrics & Gynecology Vol. 69; no. 1; pp. 26 - 36
Autores principales: Briggs, Morgan, Saif, Ayesha, L. Kline, Timothy, VanBuren, Wendaline, Cohen Rassier, Sarah L., Green, Isabel C.
Formato: diagnostic images glossary review tables/charts Journal Article
Publicado: Lippincott Williams & Wilkins Mar2026
Acceso en línea:Ver este registro en EBSCOhost
Descripción
Sumario:What was done? A review of artificial intelligence (AI) applications for the imaging of uterine fibroids, endometriosis, and adenomyosis. What was found? AI models can assist with the recognition, segmentation, and localization of uterine fibroids, and the differentiation of benign fibroids and sarcomas. Models can aid in the diagnosis of adenomyosis and endometriosis, and the prediction of the impact of endometriosis on fertility. What the findings mean? Deployed thoughtfully, AI tools could reduce variability, shorten read times, and add objective measurements to routine care. Studies evaluating these models are limited by single-institution designs and continued reliance on expert sonologists and radiologists.