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January 26, 20260 citations

Artificial Intelligence in Gynecologic Imaging.

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MBMorgan BriggsASAyesha SaifTKTimothy L. Kline

Key Points

  • The aim is to explore AI applications in imaging for uterine fibroids, endometriosis, and adenomyosis.
  • Conducted a review of existing AI applications in gynecologic imaging.
  • Analyzed AI's effectiveness in recognizing, segmenting, and localizing uterine conditions.
  • Assessed the ability of AI to differentiate between benign and malignant fibroids.
  • AI models effectively assist in recognizing and localizing uterine fibroids.
  • AI aids in diagnosing adenomyosis and endometriosis.
  • AI can predict how endometriosis impacts fertility.

Abstract

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.

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Cite This Study

Briggs et al. (2026) studied this question.

synapsesocial.com/papers/697703af722626c4468e8bcchttps://doi.org/10.1097/grf.0000000000000984
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