American Academy of Sleep Medicine (AASM) shared research results, stating that AI-powered data analysis has a potential to  increase efficiency and precision of sleep medicine, shared the organization in the press release on March 2:

“Combined with other sources of health data, AI is expected to provide new insights to inform the clinical care of sleep disorders and advance our understanding of the integral role sleep plays in human health”

The AASM’s Artificial Intelligence in Sleep Medicine Committee, that was researching AI applications to sleep studies, published the results in the Journal of Clinical Sleep Medicine.

According to the Chair of the Committee Dr Cathy Goldstein, using AI to analyse polysomnography data will streamline day-to-day “processes of sleep laboratories and free up sleep technologist time for direct patient care”.

More importantly, Goldstein believes that AI will “derive more meaningful information from sleep studies”, that usually contain vast amounts of data, and therefore help to offer more effective solutions to patients:

“AI might help us understand mechanisms underlying obstructive sleep apnea, so we can select the right treatment for the right patient at the right time, as opposed to one-size-fits-all or trial and error approaches”

In order to achieve the most benefits for patients, committee proposes the measures to integrate data derived from hospitals and laboratories, given the “careful oversight” over the ethical use of data.

Earlier Stanford University researchers have presented a neural network that outperformed humans in detecting sleep disorders.

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