Day: January 28, 2026

Artificial Intelligence in Sleep Disorder Diagnosis: Transforming Polysomnography Interpretation and Patient Outcomes

Introduction Sleep disorders represent a significant and growing global health concern, impacting millions worldwide.  The diagnostic process itself can be complex and often relies heavily on subjective observations and preliminary assessments. Says Dr. Eric Haeger, traditional methods, such as polysomnography (PSG), remain the cornerstone of diagnosis, but they are not without limitations.  Increasingly, the field of […]