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Treat sleep problems with artificial intelligence
Sleep is important for the body and mind, unfortunately difficulties regarding sleep are widespread. In the future, artificial intelligence could improve the treatment of sleep problems, enable a more precise sleep assessment, and contribute to the optimization and personalization of sleep treatments, as a recent study shows.
The current study by the University of Michigan found that using AI could help treat sleep problems and improve sleep quality. The results of the study were published in the English-language journal "Journal of Clinical Sleep Medicine" (JCSM).
AI has the potential to improve sleep medicine
Since many people have problems with their sleep, improved methods of diagnosis and treatment are urgently needed. Artificial intelligence (AI) has the potential to improve efficiency and precision in sleep medicine, which would lead to patient-centered care and better results.
Data from sleep studies are suitable for analysis by AI
The researchers explained that the electrophysiological data collected during so-called polysomnography (the most comprehensive type of sleep study) are very suitable for improved analysis using artificial intelligence and machine learning.
AI could streamline processes in sleep laboratories
When artificial intelligence is used in sleep medicine, the obvious use case is the evaluation of sleep and related events. This would streamline processes in sleep laboratories and give staff more time to provide direct patient care.
AI provides more accurate diagnoses, disease predictions, and treatment prognoses
Because of the huge amount of data that sleep centers collect, AI and machine learning could dramatically improve sleep medicine. This would lead to more accurate diagnoses, disease predictions and treatment prognoses, as well as improved characterization of disease subtypes, increased precision in sleep assessment, and optimization and personalization of sleep treatments.
Improved information through an AI?
The AI can create an automated sleep assessment and at the same time identify additional insights from the sleep data. AI could make it possible to derive more meaningful information from sleep studies, since current summary metrics, such as the so-called apnea-hypopnea index, do not allow predictions about the health and quality of life of patients.
How does AI treat obstructive sleep apnea?
AI could also help understand the mechanisms underlying obstructive sleep apnea. The right treatment for the right people at the right time could be selected. The research team is convinced that the integration of an AI in sleep medicine enables the investigation of new data and improved transparency.
Promising treatment options in medicine through AI
In general, the possibilities of using artificial intelligence in medicine are very promising. In the past, however, there have been exaggerated claims and misinformation about the use of AI. In the future, researchers should work with industry to promote the safe and effective use of AI software. (as)
Author and source information
This text corresponds to the requirements of the medical literature, medical guidelines and current studies and has been checked by medical doctors.
Swell:
- MD Cathy A. Goldstein, MD Richard B. Berry, MD David T. Kent, MD David A. Kristo, PhD Azizi A. Seixas et al .: Artificial Intelligence in Sleep Medicine: An American Academy of Sleep Medicine Position Statement, in Journal of Clinical Sleep Medicine (Published February 5, 2020), JCSM
