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

Journal: Journal of prosthodontics : official journal of the American College of Prosthodontists

PMID: 39676388

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).

Authors

Jean-Benoit Martinot

Centre Hospitalier Universitaire - Université Catholique de Louvain Namur Site Sainte-Elisabeth Namur, Belgium.
Nhat-Nam Le-Dong

Sunrise Namur, Belgium.
Atul Malhotra

Division of Pulmonary, Critical Care, and Sleep Medicine, University of California, San Diego, La Jolla, CA. Electronic address: amalhotra@health.ucsd.edu.
Jean-Louis Pépin

University Grenoble Alpes Grenoble, France.

Keywords

Artificial Intelligence Humans Mandible Movement Photoplethysmography Sleep Apnea, Obstructive

External Resources

View on PubMed Access via DOI PubMed (39676388)

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

Abstract

Authors

Keywords

External Resources

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