A new position statement released by the American Academy of Sleep Medicine highlights the scope Artificial Intelligence in improving precision and efficiencies in sleep medicine.
Sources suggest the position statement was developed by the AASM’s Artificial Intelligence in Sleep Medicine Committee. According to the statement, polysomnography, most comprehensive type of sleep study, is most suitable for analysis with the help of AI and other machine-assisted learning.
Owning to extensive data collected by sleep centers, AI and machine learning could help understand sleep care more elaborately. This could further help in providing accurate diagnoses of diseases and treatment prognosis, precision in sleep scoring, characterization of disease subtypes, in addition to optimization and personalization of sleep treatments.
Based on a statement by lead author and committee Chair Dr. Cathy Goldstein, AI could be effectively used to automate sleep scoring while also identifying additional insights from sleep data.
“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,” she explained. “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.”
Application of AI into sleep medication practice can further help with testing novel data, laboratory integration and disclosure and transparency. The statement urges manufactures to disclose intended population and purpose of any program used in the evaluation of patients. This further also includes test programs for clinical use on independent data and sleep centers in the evaluation of AI-based software performance.
“AI tools hold great promise for medicine in general, but there has also been a great deal of hype, exaggerated claims and misinformation,” remarks Goldstein. “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.”
The position statement on AI in sleep medicine is published in the Journal of Clinical Sleep Medicine.