Artificial intelligence has made its way into drug development, surgery and medical advice – and is now helping people improve the quality of their sleep.
The Committee on Artificial Intelligence in Sleep Medicine, which is part of the American Academy of Sleep Medicine, recently published a paper highlighting how AI is contributing to the field of sleep medicine.
The committee looked at how AI is helping in three areas: clinical applications, lifestyle management and population health.
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Clinical applications include using AI to diagnose and treat sleep disorders, while lifestyle management focuses on using consumer technology to track sleep data.
In the third area, population health, AI technology reveals a new approach to public health related to sleep, according to Dr. Anuja Bandyopadhyay, chair of the Artificial Intelligence in Sleep Medicine Committee at Riley Children’s Hospital, Indiana University School of Medicine.
Artificial intelligence has made its way into drug development, surgery and medical advice – now it’s helping people improve their sleep quality. (iStock)
“Good quality and quantity of sleep is essential for good health,” Bandyopadhyay said in an interview with Fox News Digital.
“How sleep medicine doctorsWe’ve recommended this for years, but sleep is often the first thing to be sacrificed to make time for other competing interests.”
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For years, patients didn’t have access to tools to track their sleep or sleep habits, Bandyopadhyay said — which made it difficult for doctors to get the data needed to assess sleep quality and quantity.
“Me the advent of AIwe now have the ability to track sleep, identify patterns and recognize changes in other physiological parameters that can inform the clinic if something is wrong,” she said.
“At the same time, this technology can help patients track their sleep and understand their sleep habits in a better way, empowering them to make positive changes for their own benefit.”
6 examples of AI in action for better sleep
Bandyopadhyay shared some specific examples of how AI can be used to help improve sleep quantity and quality.
No. 1 – Personalized sleep monitoring
“AI-powered devices can monitor sleep patterns more accurately clothing technology and smart devices,” Bandyopadhyay told Fox News Digital.
“AI-powered devices can monitor sleep patterns more accurately through wearable technology and smart devices,” a sleep expert told Fox News Digital. (iStock)
“They can analyze data such as movement, heart rate and breathing to provide detailed insights into sleep quality.”
No. 2 – Diagnosis of sleep disorders
AI algorithms can help diagnose sleep disorders such as insomnia, sleep apnea and narcolepsy by analyzing large data sets from sleep studies more efficiently than traditional methods, the expert noted.
No. 3 – Recommendations for sleep
“AI can provide personalized sleep recommendations based on individual sleep patterns, lifestyle and health data,” Bandyopadhyay said.
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“This may include advice on sleep hygiene, optimal bedtimes and relaxation techniques.”
No. 4 – Predictive analysis
AI can predict potential sleep problems by analyzing data patterns and trends, allowing people to take preventative measures before problems become severe.
“AI can be integrated into smart home systems to create environments conducive to better sleep,” according to the sleep expert. (iStock)
No. 5 – Smart sleeping environments
“AI can be integrated into smart home systems to create enabling environments better sleep”, said Bandyopadhyay.
This may include recommendations for adjusting lighting, temperature and sound based on individual sleep cycles.
No. 6 – Integration of mental health
“Given the strong connection between sleep and mental healthAI can help by providing holistic health insights and integrating sleep data with mental health assessments to provide comprehensive wellness solutions,” said Bandyopadhyay.
Risks, limitations of using AI for sleep
While advances in AI technology have been shown to help people optimize everyday tasks and functions, experts caution.
“It is still a complex algorithm that requires sufficient training and supervision,” Bandyopadhyay said.
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“It would be naive to assume that AI can be autonomous and replace clinical expertise.”
All sleep disorders are different, the expert noted, with differences in symptoms and responses to different therapies.
“This is not a one-size-fits-all solution,” she said. “Therefore, relying solely on an AI-enabled algorithm to diagnose complex disorders may not be a good idea.”
Using AI to help with sleep could help reduce physician burnout and improve access to care, according to experts. (iStock)
It’s also important to have layers of security in place so AI can be used responsibly without compromising patient privacy, according to Bandyopadhyay.
“As generative AI gains popularity, we also need to think about ethical concerns and discuss who is responsible for content or clinical decisions,” she added.
The future of AI in sleep medicine
The sleeping pill is “well positioned” for him include AIsaid Bandyopadhyay, as it involves interpreting the body’s signals and the “complex psychosocial processes” that operate in conjunction with the environment.
“AI forms the perfect trio between doctors and patients.”
“Untreated sleep disorders can lead to adverse cardiometabolic and neurocognitive outcomes, making the ability to monitor one’s sleep in a meaningful way and use that clinical data to improve sleep a critical need for our field.” , she said.
If used properly, AI can also help alleviate physician burnout and improve patient access to care, she said.
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“In the US, the estimated patient-physician ratio among sleep medicine physicians is 43,000 to 1,” Bandyopadhyay noted.
“There aren’t enough doctors and that leads to poor access to care.”
In the US, the estimated patient-to-doctor ratio among sleep medicine doctors is 43,000 to 1, according to one expert. (iStock)
“If I had a tool that could screen my patients for poor sleep quality or quantity, summarize that data for me, help me document my conversations with the patient, and alert me if my patient is not use the therapy as prescribed, then I would certainly be able to direct all my time and effort to improving the care I provide to my patients.”
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While AI is a powerful tool, Bandyopadhyay said clinicians need to make sure they use it for “the right patient and the right cause.”
“AI forms the perfect triad between clinicians and patients, bridging the gap and empowering patients and clinicians to optimize good sleep health.”
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