Radiomics optimizing the evaluation of endometrial receptivity for women with unexplained recurrent pregnancy loss.

ABSTRACT:

Background

The optimization of endometrial receptivity (ER) through individualized therapies has been shown to enhance the likelihood of successful gestation. However, current practice lacks comprehensive methods for evaluating the ER of patients with recurrent pregnancy loss (RPL). Radiomics, an emerging AI-based technique that enables the extraction of mineable information from medical images, holds potential to offer a more objective and quantitative approach to ER assessment. This innovative tool may facilitate a deeper understanding of the endometrial environment and enable clinicians to optimize ER evaluation in RPL patients.

Objective

This study aimed to identify ultrasound radiomics features associated with ER, with the purpose of predicting successful ongoing pregna

SUBMITTER: Huang W 

PROVIDER: S-EPMC10545880 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature