Artificial Intelligence-Enhanced Telemonitoring in Sleep Medicine: Remote Care Revolution.

Authors

Adam V Benjafield, Amir Sharafkhaneh, Dennis Hwang

Published in

Sleep medicine clinics. Volume 21. Issue 4. Pages 605-617. Epub Oct 05, 2026.

Abstract

Obstructive sleep apnea affects nearly 1 billion people worldwide, yet positive airway pressure therapy remains limited by suboptimal long-term adherence. This review examines how cloud-based telemonitoring, patient engagement platforms, and artificial intelligence are transforming management across sleep medicine by enabling predictive risk stratification, personalized behavioral interventions, and scalable automated care delivery. A multidimensional adherence framework addresses equipment, behavioral, motivational, and educational barriers simultaneously. Evidence supports hybrid care models combining artificial intelligence-driven automated management with targeted clinician oversight, key implementation considerations around reimbursement, regulation, data security, and equity, offering a replicable framework for precision chronic disease management beyond sleep medicine.

PMID:
42977367
Bibliographic data and abstract were imported from PubMed on 04 Nov 2026.

Read full publication at:
Please sign in to see all details.

Stats

1-terrible, 9-excellent. How would you rate this publication? Sign in in to submit your rating.

Post a comment

You need to be signed in to post comments. You can sign in here.

Comments

There are no comments yet.