A new study suggests Artificial intelligence(AI) can improve the accuracy of sleep medicines, resulting in more patient-centered care and better outcomes. The position statement was published in the Journal of Clinical Sleep Medicine and developed by the AASM’s Artificial Intelligence in Sleep Medicine Committee.

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The statement states, the electrophysiological data collected during polysomnography (the most comprehensive type of sleep study) is well-positioned for enhanced analysis through AI and machine-assisted learning.

Dr. Cathy Goldstein, the lead researcher said, “When we typically think of AI in sleep medicine, the obvious use case is for the scoring of sleep and associated events.”

Added, “This would streamline the processes of sleep laboratories and free up sleep technologist time for direct patient care.”

For the reason being the vast amounts of data collected by sleep centers- AI and machine learning could advance sleep care. This results in more accurate diagnoses, prediction of disease and treatment prognosis, characterization of disease subtypes, precision in sleep scoring, and optimization and personalization of sleep treatments.

AI could be used to automate sleep scoring, with identifying additional insights from sleep data noted Goldstein.

Dr. Cathy Goldstein- “AI could allow us to derive more meaningful information from sleep studies, given that our current summary metrics, for example, the apnea-hypopnea index, aren’t predictive of the health and quality of life outcomes that are important to patients.”

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Furthermore – “Additionally, 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.”

The integration of AI into the sleep medicine practice includes transparency and disclosure, testing on novel data, and laboratory integration.

“AI tools hold great promise for medicine in general, but there has also been a great deal of hype, exaggerated claims, and misinformation,” Goldstein added, “We want to interface with industry in a way that will foster safe and efficacious use of AI software to benefit our patients. These tools can only benefit patients if used with careful oversight.”

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