Using artificial intelligence for precision sleep medicine

Using artificial intelligence for precision sleep medicine
According to Cathy Goldstein, MD, MS, associate professor of neurology at the University of Michigan Sleep Disorders Center, data gathered during sleep examination and interpreted by AI could predict the onset of diseases even before the first appearance of symptoms.
Indeed, a polysomnography is complete and in-depth sleep examination allowing the recording of several variables (cardiac, cerebral, muscular, ocular, and respiratory activity) thanks to sensors and electrodes placed on the body. The interpretation of those big amount of data collected during a night of sleep by AI could predict who is going to get dementia in the future, thanks to specific patterns identified in the data.
For instance, observing a change in heart rate variability could signal the onset of pneumonia, which if identified upfront could be considered and prevented by treating physician.
Indeed, there’s already evidence that certain subtypes in obstructive sleep apnea (OSA) are predictive of cardiovascular events. But thanks to AI and its in-depth analysis, new important data could be identified allowing physician to select the right treatment for the right patient at the right time. As opposed to where we stand today, according to Alyssa Cairns, PhD, head of sleep research at SleepMed BioSerenity, with a data interpretation done by a sleep technician that looks at each 30-second window of the patient’s sleep, taking time and introducing human bias. Moreover, the sleep tec interpretation does not allow for an in-depth analysis as those that could be reach thanks to AI. Hence, why sleeps researchers and innovators are working actively on how polysomnography examination is interpreted, in order to improve sleep care and maybe care beyond sleep.
To know more, read the full article on Sleep Review: https://www.sleepreviewmag.com/sleep-diagnostics/connected-care/ai-machine-learning/artificial-intelligence-sleep-medicine-new-population-health-insights/