Identification of Preeclamptic Placenta in Whole Slide Images Using Artificial Intelligence Placenta Analysis.

ABSTRACT:

Background

Preeclampsia (PE) is a hypertensive pregnancy disorder linked to placental dysfunction, often involving pathological lesions like acute atherosis, decidual vasculopathy, accelerated villous maturation, and fibrinoid deposition. However, there is no gold standard for the pathological diagnosis of PE and this limits the ability of clinicians to distinguish between PE and non-PE pregnancies. Recent advances in computational pathology have provided the opportunity to automate pathological analysis for diagnosis, classification, prediction, and prediction of disease progression. In this study, we assessed whether computational pathology could be used to identify PE placentas.

Methods

A total of 168 placental whole-slide images (WSIs) of patients from Seoul National Uni

SUBMITTER: Jung YM 

PROVIDER: S-EPMC11473260 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature