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Peer-Reviewed Publication
medRxiv2025January 7, 2025Journal Article

Non-Contact Optical Blood Pressure Biometry Using AI-Based Analysis of Non-Mydriatic Fundus Imaging.

Idan Bressler1, Dolev Dollberg2,3, Rachelle Aviv1, Danny Margalit1, Alon Harris4, Brent Siesky4, Tsontcho Ianchulev1,5, Zack Dvey-Aharon1
1AEYE Health, Inc.
2Department of Ophthalmology, Rabin Medical Center, Petah Tikva, Israel.
3Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.
4Department of Ophthalmology, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
5New York Eye and Ear of Mount Sinai, Icahn School of Medicine, New York, NY, United States.
PubMed PMC DOI PDF

Abstract

BACKGROUND: This study was developed to determine whether a machine learning model could be developed to assess blood pressure with accuracy comparable to arm cuff measurements. METHODS: A deep learning model was developed based on the UK Biobank dataset and was trained to detect both systolic and diastolic pressure. The hypothesis was formulated after data collection and before the development o…

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