Early Non-Invasive Preeclampsia Diagnosis via Retinal Imaging
Oct 14, 2025 · This study investigates the potential of retinal vascular features obtained through non-invasive retinal imaging as early biomarkers to identify preeclampsia before these classic clinical …
In this study, we present a machine-learning (ML) based algorithm for PE prediction using retinal vascular features in a non-invasive and cost-effective approach.
A Window to the Womb: Leveraging AI and Retinal Vascular Imaging …
Jul 25, 2025 · Non-invasive modalities such as fundus photography and optical coherence tomography angiography (OCTA) allow clinicians to visualize and quantify retinal vascular parameters, including …
Visionary AI: Pioneering Diagnostic Tools to Improve Early Detection …
Liat Shenhav of New York University Grossman School of Medicine in the U.S. will develop a diagnostic platform, based on non-invasive retinal imaging, for prediction and detection of preeclampsia early in …
Prevention of Pre-Eclampsia: Modern Strategies and the Role of Early ...
Apr 25, 2025 · Early detection and risk stratification are critical for improving pregnancy outcomes. This review aims to summarize current advancements in PE screening, including clinical risk factors, …
Detecting hypertensive vascular features in retina images in preeclampsia
Maternal hypertensive manifestations can affect multiple organs, including the eyes. Our purpose was to evaluate hypertensive microvascular features in ultra-widefield retinal imaging and determine if such …
Prediction of preeclampsia from retinal fundus images via deep le ...
Apr 30, 2024 · Our study demonstrates that the use of deep learning algorithm-based retinal fundus images offers promising predictive value for the early detection of preeclampsia.
fi screening has the potential to be used as a low-cost, non-invasive screening strategy to support the earlier detection, prevention, and treatment of preeclampsia.
Study Shows New AI Method Dramatically Improves Retinal Imaging …
3 days ago · Nature According to the team and supporting commentary from the National Eye Institute, integrating AI with advanced retinal imaging has the potential to bring cellular-level ophthalmic …
Prediction of preeclampsia from retinal fundus images via deep …
Our study demonstrates that the use of deep learning algorithm-based retinal fundus images offers promising predictive value for the early detection of preeclampsia.