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Published on: September 26, 2018
Visionary AI: Decoding Systemic Vascular Health and Hypertensive Disorders in Pregnancy Through Retinal Imaging and
Srilaxmi Bearelly1,2, Cassandra Areff3, Matthew K Hoffman4
1Department of Ophthalmology, Columbia University Irving Medical Center, New York, NY, USA.
Visionary AI uses retinal imaging and AI to predict hypertensive disorders of pregnancy early. This approach offers a biologically grounded, interpretable diagnostic tool for improved maternal and fetal health outcomes.
Area of Science:
- Reproductive Medicine
- Medical Imaging
- Artificial Intelligence
Background:
- Hypertensive disorders of pregnancy (HDP) pose significant risks, including maternal mortality and long-term cardiovascular issues.
- Current screening methods for HDP are imprecise and challenging, necessitating earlier and more accurate detection.
- Early placental dysfunction and systemic endothelial disruption are linked to HDP, but underlying mechanisms require further elucidation.
Purpose of the Study:
- To develop and validate an AI-driven platform, Visionary AI, for early prediction of HDP using retinal imaging.
- To investigate the utility of ultra-widefield retinal imaging and vascular modeling for identifying HDP-specific microvascular signatures.
- To provide mechanistic insights into the pathophysiology of different HDP subtypes through retinal vascular analysis.
Main Methods:
- Visionary AI integrates 200° ultra-widefield retinal imaging with biologically grounded vascular modeling.
- The platform constructs interpretable, graph-based representations of the maternal retinal vasculature.
- Topological and geometric analyses are applied to identify condition-specific microvascular signatures in a prospective multiethnic cohort (n=1,267).
Main Results:
- Visionary AI demonstrated high predictive performance for preeclampsia (AUC=0.90), early-onset preeclampsia (AUC=0.93), and severe preeclampsia (AUC=0.89).
- The AI model also accurately predicted gestational hypertension (AUC=0.91) and chronic hypertension (AUC=0.90).
- Retinal vascular analyses revealed distinct remodeling patterns associated with different HDP subtypes, offering mechanistic insights.
Conclusions:
- The maternal retina serves as a minimally invasive biosensor for early systemic vascular health assessment.
- Visionary AI provides a clinically actionable, biologically grounded diagnostic framework for early HDP detection.
- This AI platform shows potential for broad global scalability in improving HDP screening and management.
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