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 รขโ‚ฌยฆ Maternal hypertensive manifestations can affect multiple organs, including the eyes.

This study introduces prompt (preeclampsia risk factor + ophthalmic data + mean arterial pressure prediction test), an ai-driven model leveraging retinal photography for pe prediction, registered at รขโ‚ฌยฆ 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.

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