June 27, 2022

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Smart application for the treatment of insomnia patients

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Artificial intelligence has developed an application to treat sleep disorders that affect a large group of people.

According to the news website Asharq Al-Awsat, the experts explained that the new application may be an alternative to the hypnotic drugs that people suffering from insomnia are addicted to.

They noted that their successful discovery in a design called “Slipio” relied on an artificial intelligence algorithm to provide cognitive behavioral therapy to individuals with insomnia.

The National Institute for Health and Care (NICE) said the use would reduce the use of NHS funds in the UK, as well as drugs for drugs such as “zolpidem” and “zopiclone”.

The application offers a six-week digital self-help program that includes sleep testing, weekly interactive sessions and a sleep diary..

Sessions focus on identifying thoughts, feelings, and behaviors that contribute to the symptoms of insomnia.

Cognitive interventions are aimed at improving the way a person thinks about sleep, and behavioral interventions are aimed at improving healthy sleep habits..

The Nice Institute expects up to 800,000 people to benefit from using the app in the UK.

The program is designed to be completed within six weeks, but people will have full access to it within 12 months of registration.

It allows people to complete sessions at their own pace and revisit sessions.

Participants can access e-library articles and online tools and join the Sleepio user community for support..

Daily sleep diary helps users track their progress, and the program designs tips for individuals.

Clinical evidence submitted to the Medical Technical Advisory Board from 12 randomized control trials shows that use may be more effective in reducing insomnia than hypnotic drugs..

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Janet Cosell, executive director of MedTech at the Nice Institute, said a careful and transparent evidence-based analysis has found that Sleepio’s contributed to reducing the use of NHS funds and, in some cases, drug dependence.

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