AI could have a major impact on Sleep Medicine and Obstructive Sleep Apnea when used to score data and predict patient outcomes

Big Data has been using Artificial Intelligence (AI) to gain insight, identify trends, and even make predictions. Artificial Intelligence is now entering Sleep Medicine and is positioned to make advances in two areas – testing the large undiagnosed Obstructive Sleep Apnea population and identifying risk of future health issue.

EnsoData has developed an AI platform to score the waveforms collected from multiple sensors during sleep testing for Obstructive Sleep Apnea. Traditionally, these waveforms have been manually reviewed by registered technicians. However, the time to manually review along with the finite number of registered technicians in the country are limitations to the undiagnosed sleep apnea population (80% of adults with sleep apnea are still undiagnosed).EnsoData’s analysis reduces the time to review test data by more than half, allowing providers to test and treat more patients in a shorter time! (1)

Millennium Sleep Lab’s COO Mara Retzlaff explained, “EnsoData will allow us to meet the growing demand for home sleep testing as the medical community is adapting to COVID with telemedicine and ambulatory services. We are excited to launch a trial of their AI platform for scoring.”

Additionally, Itamar Medical is collaborating with a large heath system to determine if the signal from WatchPAT testing device can predict cardiac outcomes. With test data and health history for over 50,000 patients, AI will be integral in analyzing and comparing predictive models for patients developing cardiovascular disease, atrial fibrillation, and congestive heart failure. (2)

AI is advancing Sleep Medicine, and Millennium Sleep Lab is proud to support the companies at the forefront by utilizing Itamar’s WatchPAT device to test patients and trialing EnsoData’s AI for scoring.