Detection of hypertension from pharyngeal images using deep learning algorithm in primary care settings in Japan.

ABSTRACT:

Background

The early detection of hypertension using simple visual images in a way that does not require physical interaction or additional devices may improve quality of care in the era of telemedicine. Pharyngeal images include vascular morphological information and may therefore be useful for identifying hypertension.

Objectives

This study sought to develop a deep learning-based artificial intelligence algorithm for identifying hypertension from pharyngeal images.

Methods

We conducted a secondary analysis of data from a clinical trial, in which demographic information, vital signs and pharyngeal images were obtained from patients with influenza-like symptoms in multiple primary care clinics in Japan. A deep learning-based algorithm that included a multi-instance co

SUBMITTER: Yoshihara H 

PROVIDER: S-EPMC11499848 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature