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VanBuren, Wendaline

A5123774794 | I1330342723

Mayo Clinic

Mayo Clinic

Citations 3

Artificial Intelligence in Gynecologic Imaging

Clinical Obstetrics & Gynecology | January 23, 2026 | Volume: 69 | Issue: 1 | Pages: 26-35

10.1097/grf.0000000000000984 | PMID 41576324

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.
What It Takes to Elevate Endometriosis Imaging on the World Stage—Radiology Trailblazers, an AJR Podcast Series (Episode 5)

American Journal of Roentgenology | November 12, 2025 | Volume: 226 | Issue: 1 | Pages: No page available

10.2214/ajr.25.34175 | PMID 41222247

Krukenberg Tumors: Update on Imaging and Clinical Features

American Journal of Roentgenology | July 13, 2020 | Volume: 215 | Issue: 4 | Pages: 1020-1029

10.2214/ajr.19.22184 | PMID 32755184