OasisLMS

In need of a few CME credits? Here is a great opportunity to brush up on clinical sleep medicine topics and earn the CME you need. This purchase allows you access to 2 JCSM articles and unlimited opportunities to pass the post tests in order to earn CME credit. Each month a new pair of articles chosen by the journal editor are available for CME. Each article designated for CME is worth 1.0 AMA Category 1 Credit^TM.

Learning Objectives
Upon completion of this activity, participants should be able to: 

(Article #1)- Enhancing identification and diagnosis of nightmare disorder in active duty patients at a sleep disorders center: A quality improvement initiative

• Describe systematic, workflow-based interventions that can be implemented to improve the identification and diagnosis of Nightmare Disorder within a sleep disorders center.

(Article #2)-  Validation of an artificial intelligence based single-channel photoplethysmography home sleep apnea test

• Describe the validation design of a prospective, multi-site study comparing AI-based single-channel photoplethysmography (ePPG) to gold-standard polysomnography (PSG) for obstructive sleep apnea (OSA) diagnosis.
• Interpret diagnostic performance metrics including sensitivity, specificity, McNemar’s test, Deming regression, and Bland–Altman analysis in the context of home sleep apnea testing (HSAT).
• Evaluate the clinical implications and limitations of AI-based software-as-a-medical-device (SaMD) HSAT, including interoperability, multi-night testing potential, and sources of signal variability.

Estimated time to complete: 2 hrs
Target audience: sleep medicine professionals

Release date: April 1, 2026
Expiration date: April 1, 2027