The role of shear wave elastography in predicting clinical symptoms in adenomyosis: A prospective observational study with a machine learning approach
SWE combined with ML offers a promising approach to predict clinical symptoms of adenomyosis, aiding in personalized treatment strategies. This study highlights the potential of integrating advanced imaging techniques and computational models to enhance clinical decision-making and improve patient outcomes.
Authors
- Burak Elmas (ORCID: https://orcid.org/0000-0001-7977-4364)
- Uğurcan Zorlu (ORCID: https://orcid.org/0000-0002-8912-0812)
- Sezer Nil Yılmazer Zorlu (ORCID: https://orcid.org/0009-0001-7162-4668)
Institutions
- Bilkent University (TR)
- Memorial Ankara Hospital (TR)
- Ankara Bilkent City Hospital (TR)
Publication Details
- Journal
- Journal of obstetrics and gynaecology research
- Published
- 2025-08-01
- DOI
- https://doi.org/10.1111/jog.70037
- Citations
- 1
- Primary Topic
- Endometriosis Research and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 1.70