AI in sleep disorder diagnosis

Artificial intelligence (AI) is gradually becoming established in the diagnosis of sleep-related respiratory disorders. Researchers are exploring ways to use AI to analyze data from sleep studies, potentially making the process more efficient.

Automated analysis limitations

While automated analysis of EEG (electroencephalogram) data and scoring of respiratory events are still primarily used in research settings, Dr. Justine Frija from the sleep center at Bichat-Claude-Bernard Hospital in Paris suggests that, in the long term, these technologies could reduce the need for medical expertise.

Simplifying sleep apnea diagnosis

AI and new connected devices are making it easier to diagnose sleep apnea, a condition characterized by pauses in breathing during sleep. These tools can monitor breathing patterns and other vital signs more conveniently than traditional methods.

Polysomnography remains dominant

Despite these advancements, polysomnography, the standard overnight sleep study that records brain activity, eye movements, and breathing, has not yet been replaced by AI or connected devices. It remains the gold standard for diagnosing sleep disorders.