Enhancing artificial intelligence-driven sleep apnea diagnosis: The critical importance of input signal proficiency with a focus on mandibular jaw movements.

ABSTRACT:

Purpose

This review aims to highlight the pivotal role of the mandibular jaw movement (MJM) signal in advancing artificial intelligence (AI)-powered technologies for diagnosing obstructive sleep apnea (OSA).

Methods

A scoping review was conducted to evaluate various aspects of the MJM signal and their contribution to improving signal proficiency for users.

Results

The comprehensive literature analysis is structured into four key sections, each addressing factors essential to signal proficiency. These factors include (1) the comprehensiveness of research, development, and application of MJM-based technology; (2) the physiological significance of the MJM signal for various clinical tasks; (3) the technical transparency; and (4) the interpretability of the MJM signal. Co

SUBMITTER: Martinot JB 

PROVIDER: S-EPMC12003084 | biostudies-literature | 2025 Apr

REPOSITORIES: biostudies-literature