The problem with trusting AI to diagnose sleep disorders

The problem with trusting AI to diagnose sleep disorders

November 17, 2017

Excerpted from Venture Beat

A look into the future

Despite potential user error and inaccurate analysis, AI has a bright future in sleep technology. "By learning individual sleep patterns, sleep trackers could potentially utilize AI to better predict sleep/wake states, as well as sleep disturbances such as restless legs syndrome and obstructive sleep apnea," Durmer says. With the ability to utilize data as a "preclinical" detection device, AI could dramatically improve self-analysis and the detection of those at risk for sleep disorders, he adds. The potential for connectivity is also limitless. "Not only will sleep trackers help ensure the doors are locked at night and coffee brews in the morning, but they will become more active in the sleep process. Trackers will connect with adjustable bed bases, thermostats, audio devices, and even alarm systems to help control and optimize sleep through environmental control while easing communication and awareness throughout the home," says Miguel Marrero, director of technology development at REM-Fit. Read the entire article at Venture Beat.