Sleep apnea screening in women | Division of Health AI

Elmezzi Scholars · Active

A machine learning approach to screening women for moderate-to-severe obstructive sleep apnea, a condition underdiagnosed in women because standard screening was built around male presentation.

Overview

A machine learning approach to screening women for moderate-to-severe obstructive sleep apnea, a condition underdiagnosed in women because standard screening was built around male presentation.

Status: Active
Program: Elmezzi Scholars
Publications: 1, latest 2026
Team: 3 members

Publications

The paper

View in the index

RespirationApr 2026

Bridging the Gender Gap in Obstructive Sleep Apnea: A Machine Learning Approach to Screening Women for Moderate-to-Severe Disease

People

On this project

Theodoros Zanos, PhD

Professor & AVP

Theofilos Kanavos, MD

Elmezzi Scholar

Effrosyni Birbas, MD

Elmezzi Scholar

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