{{#rendered}} {{/rendered}}Artificial intelligence has made its way into drug development, surgery and medical advice – and now helps people improve the quality of their sleep.
The Committee on Artificial Intelligence in Sleep Medicine, part of the American Academy of Sleep Medicine, recently published an article that highlights how AI is contributing to the field of sleep medicine. sleep medicine.
The committee examined the utility of AI in three areas: clinical applications, lifestyle management and population health.
{{#rendered}} {{/rendered}}WHAT IS ARTIFICIAL INTELLIGENCE (AI)?
Clinical applications involve the use of 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 is revealing a new public health approach to sleep, according to Dr. Anuja Bandyopadhyay, chair of the Committee on Artificial Intelligence in Sleep Medicine. Riley Children’s Hospital at Indiana University School of Medicine.
{{#rendered}} {{/rendered}}Artificial intelligence has made its way into drug development, surgery, and medical advice. It now helps people improve the quality of their sleep. (iStock)
“Good quality and quantity of sleep is essential for good health,” Bandyopadhyay said in an interview with Fox News Digital.
“As sleep medicine doctorswe’ve been recommending it for years, but sleep is often the first thing to sacrifice in order to make time for other competing interests. »
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{{#rendered}} {{/rendered}}For years, patients didn’t have access to tools to track their sleep or sleep patterns, Bandyopadhyay said, making it difficult for doctors to get the data they needed to assess quality. and the amount of their sleep.
“With the the advent of AIwe now have the ability to track sleep, identify patterns and recognize changes in other physiological parameters that can inform the clinician if something is wrong,” she said.
“At the same time, this technology can help patients track their sleep and better understand their sleep patterns, allowing them to make positive changes for their own benefit.”
{{#rendered}} {{/rendered}}6 examples of AI in action for better sleep
Bandyopadhyay shared some specific examples of how AI can be used to help improve the quantity and quality of sleep.
#1 – Personalized sleep tracking
“AI-based devices can monitor sleep patterns more accurately through wearable technology and smart devices,” Bandyopadhyay told Fox News Digital.
“AI-based 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 information about sleep quality.”
{{#rendered}} {{/rendered}}No. 2 – Diagnosis of sleep disorders
AI algorithms can help diagnose sleep disorders like insomnia, sleep apnea and narcolepsy by analyzing large data sets from sleep studies more efficiently than traditional methods, noted l ‘expert.
#3 – Sleep Recommendations
“AI can provide personalized sleep recommendations based on individual sleep habits, lifestyles and health data,” Bandyopadhyay said.
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{{#rendered}} {{/rendered}}“This could include advice on sleep hygiene, optimal sleep durations and relaxation techniques.”
No. 4 – Predictive analysis
AI can predict potential sleep problems by analyzing patterns and trends in data, allowing users to take preventative measures before problems become worse.
“AI can be integrated into smart home systems to create environments conducive to better sleep,” according to the sleep expert. (iStock)
#5 – Smart Sleep Environments
“AI can be integrated into smart home systems to create environments conducive to Better sleep” Bandyopadhyay said.
{{#rendered}} {{/rendered}}This may include recommendations for adjusting lighting, temperature, and sound based on individual sleep cycles.
No. 6 – Integration of mental health
“Given the close link between sleep and Mental HealthAI can help by providing holistic health insights and integrating sleep data with mental health assessments to offer comprehensive wellness solutions,” said Bandyopadhyay.
Risks and limitations of using AI for sleep
While advances in AI technology have been shown to help humans optimize everyday tasks and functions, experts urge caution.
{{#rendered}} {{/rendered}}“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 stand alone and replace clinical expertise.”
{{#rendered}} {{/rendered}}All sleep disorders are different, the expert noted, with differences in symptoms and responses to different therapies.
“It’s not a one-size-fits-all solution,” she said. “Therefore, relying solely on an AI-based algorithm to diagnose complex disorders may not be a good idea.”
Using AI to aid sleep could help reduce physician burnout and improve access to care, experts say. (iStock)
It is also important to put security levels in place, so that AI can be used responsibly without compromising patient privacy, according to Bandyopadhyay.
{{#rendered}} {{/rendered}}“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
Sleep medicine is “well placed” to integrate AIBandyopadhyay said, because it involves interpreting bodily signals and “complex psychosocial processes” that work in tandem with the environment.
“AI forms the perfect triad between clinicians and patients.”
“Untreated sleep disorders can lead to adverse cardiometabolic and neurocognitive outcomes, making the ability to meaningfully monitor one’s sleep and use this clinical data to improve sleep a critical need in our field,” he said. she declared.
{{#rendered}} {{/rendered}}If used correctly, AI can also help alleviate physician burnout and improve patient access to care, she said.
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“In the United States, the patient-to-doctor ratio among sleep doctors is estimated to be 43,000 to 1,” Bandyopadhyay noted.
{{#rendered}} {{/rendered}}“There are not enough doctors, which leads to poor access to care.”
In the United States, the patient-to-doctor ratio among sleep doctors is estimated at 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 doesn’t If I’m not using therapy as prescribed, then I would certainly be able to devote all of my time and effort to improving the care I provide to my patients.
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{{#rendered}} {{/rendered}}Although AI is a powerful tool, Bandyopadhyay said clinicians need to make sure they are using it for “the right patient and the right cause.”
“AI forms the perfect triad between clinicians and patients, bridging the gap and enabling patients and clinicians to optimize good sleep health“.
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