Artificial Intelligence in Sleep Medicine

In recent years there has been a rapid emergence of artificial intelligence (AI) in the field of sleep medicine. AI refers to the capability of computer systems to perform tasks conventionally thought to require human intelligence, such as

Sleep medicine is well positioned to benefit from advances that use big data to create artificially intelligent computer programs. There are three main areas where sleep medicine benefits from AI. 

➤The first application is modernizing the scoring process of polysomnography (PSG). Currently, the sleep technologists play a major role on judicating the 30-second sleep epochs as awake or asleep and/or the stage of sleep. The AI has potential to improve this lengthy process, and expedite sleep reports.

 [polysomnography (PSG) Meaning➤a type of sleep study, is a multi-parameter study of sleep and a diagnostic tool in sleep medicine. The test result is called a polysomnogram, also abbreviated PSG]. 

➤The second application of AI in sleep is leveraging the longitudinal data accumulated within electronic medical records (EMR). Sleep medicine is primed to benefit from AI used in population health research. Researchers have successfully leveraged “big data” to offer new insights into sleep physiology, improve the accuracy of diagnosis of sleep disorders, predict response and adherence to treatment, and use sleep parameters as predictors of future physical and mental health. This leads to treatment optimization and personalization. 

➤The third application of AI in sleep medicine is the use of wearable sensors. The wearable sensors show promise in tracking health records and linking several digital biomarkers to the overall health condition of patients. They provide an opportunity to elevate the traditional EMR to the new level of electronic health records (EHR) by measuring several parameters and synchronizing multilevel bio-potentials and health time series.

These applications will likely become more widely available, empowering people to improve their sleep, through the possibility of better understanding their sleeping patterns. Ultimately this can result in a reduction in sleep health disparities.

The goal of this research topic is to inform advances in the use of artificial intelligence (AI) in the field of sleep medicine.

Topics of interest include (but are not limited to) Artificial Intelligence and Machine Learning related to:

1. Assisting and enhancing polysomnography scoring
2. Supporting clinical decision
3. Providing new insights to inform the clinical care of sleep disorders
3. Leveraging the electronic medical records (EMR)
4. Managing and monitoring population health
5. Advancing our understanding of the integral role sleep plays in human health
6. Harnessing the potential of wearable devices (i.e. wrist actigraphy) into sleep medicine
7. Integrating wearables devices into EMR for remote health monitoring and at-home health application
8. Understanding and addressing sleep health disparities

Difference between Artificial intelligence and Machine learning?

 

Difference between Artificial intelligence and Machine learning?

Artificial Intelligence

Artificial intelligence is a field of computer science which makes a computer system that can mimic human intelligence. It is comprised of two words "Artificial" and "intelligence", which means "a human-made thinking power." Hence we can define it as,

Artificial intelligence is a technology using which we can create intelligent systems that can simulate human intelligence.

The Artificial intelligence system does not require to be pre-programmed, instead of that, they use such algorithms which can work with their own intelligence. It involves machine learning algorithms such as Reinforcement learning algorithm and deep learning neural networks. AI is being used in multiple places such as Siri, Google?s AlphaGo, AI in Chess playing, etc.

Based on capabilities, AI can be classified into three types:

• Weak AI
• General AI
• Strong AI

Currently, we are working with weak AI and general AI. The future of AI is Strong AI for which it is said that it will be intelligent than humans.

Machine learning

Machine learning is about extracting knowledge from the data. It can be defined as,

Machine learning is a subfield of artificial intelligence, which enables machines to learn from past data or experiences without being explicitly programmed.

Machine learning enables a computer system to make predictions or take some decisions using historical data without being explicitly programmed. Machine learning uses a massive amount of structured and semi-structured data so that a machine learning model can generate accurate result or give predictions based on that data.

Machine learning works on algorithm which learn by it?s own using historical data. It works only for specific domains such as if we are creating a machine learning model to detect pictures of dogs, it will only give result for dog images, but if we provide a new data like cat image then it will become unresponsive. Machine learning is being used in various places such as for online recommender system, for Google search algorithms, Email spam filter, Facebook Auto friend tagging suggestion, etc.

What is Artificial Intelligence?

 

What is Artificial Intelligence?

"It is a branch of computer science by which we can create intelligent machines which can behave like a human, think like humans, and able to make decisions." 

In this day and age, innovation is developing exceptionally quick, and we are reaching out to various new advancements step by step.

Here, one of the thriving advancements of software engineering is Artificial Intelligence which is prepared to make another upset on the planet by making smart machines.The Artificial Intelligence is presently surrounding us. It is as of now working with an assortment of subfields, going from general to explicit, like self-driving vehicles, playing chess, demonstrating hypotheses, playing music, Painting, and so on.

Artificial intelligence is one of the captivating and general fields of Computer science which has an incredible breadth in future. Simulated intelligence holds a propensity to make a machine function as a human.

When machines become intelligent, they can understand requests, connect data points and draw conclusions. They can reason, observe and plan. Consider =>

Leaving for a business trip tomorrow? Your intelligent device will automatically offer weather reports and travel alerts for your destination city.

Planning a large birthday celebration? Your smart bot will help with invitations, make reservations and remind you to pick up the cake.

Planning a direct marketing campaign? Your AI assistant can instinctively segment your customers into groups for targeted messaging and increased response rates.

Clearly, we’re not talking about robotic butlers. This isn’t a Hollywood movie. But we are at a new level of cognition in the artificial intelligence field that has grown to be truly useful in our lives.

We get it, though. You’re still confused about how all these topics – AI, machine learning and deep learning – relate. You’re not alone. And we want to help.

In this article we’ll explore the basic components of artificial intelligence and describe how various technologies have combined to help machines become more intelligent.

Countries that are leading the 5G Race in the world

 

5G Technology: Countries that are leading the 5G Race in the world

Worldwide competition is raging to implement 5G. Once properly deployed, 5G networks will have an effect on everyone and everything. Remote industries, smart cities, and digital communications will all alter as a result.

Every nation recognises the value of connectivity and is eager for 5G to become commercially viable. With a data throughput of many gigabits per second, it is designed to link new industries. It will deliver a more consistent user experience, enormous network capacity, and greater dependability.

Below is the list of top countries that already have 5G

Germany

Average 5G's speed: 102.0 Mbps

Service Providers: Vodafone, Telefonica Deutschland

Germany is one of the leading users of the 5G network. 5G services are available in around 1000 towns across the country. 

United Kingdoms 

Average 5G's Speed: 133.5 Mbps

Service Providers: EE, Vodafone, Three UK, O2

United Kingdoms is one of the earliest countries to commercialize 5G. 

HONG KONG

Average 5G's Speed: 142. 8 Mbps

Service Providers: China Mobile Hong Kong, 3 Hong Kong, HKT, SmarTone

Switzerland

Average 5G's Speed: 150.7 Mbps

Service Providers: Salt, Sunrise, Swisscom

5G has also begun in Switzerland and it’s already have secured second place in top countries to serve 5G. 

KUWAIT

Average 5G's Speed: 150.7 Mbps

Service Providers: Zain Kuwait, STC, Ooredoo

Kuwait is one of the earliest 5G consuming countries. It started serving 5G in mid-2019. Kuwait has the largest mobile penetration in the world. 

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CANADA

Average 5G's speed: 171.8 Mbps

Service Providers: Rogers Wireless, Bell Mobility, Telus Mobility, Videotron

Country with the most cities with 5G availability

Taiwan

Average 5G's speed: 210.2 Mbps

Service Providers: FarEasTone, Chunghwa, Taiwan Mobile

 

Australia

Average 5G's Speed: 215.7 Mbps

Service Providers: Telstra, Optus, TPG Telecom

Australian telecom service providers have managed to provide 5G services to a large percent of the total population.  

South Korea

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Average 5G's speed:302.7 Mbps

Service Providers: SK Telecom, KT Corp

I expand their network across the country. This opens many gates for a hefty expansion of 5G in S

Saudi Arabia

Average 5G's speed: 404.2 Mbps

Service Providers: STC, Mobily, Zain

Saudi Arabia has a total of 51 cities under 5G coverage. 

CHINA

Average 5G's speed: 301.60 Mbps

Service Providers: China Telecom, China Unicom, China Mobile

China has the world's largest number of 5G subscribers. At the end of February 2021, 

USA

Average 5G's speed: 70 Mbps

Service Providers: T Mobile, Verizon, AT&T

Why is 5G such a big deal?

The new 5G standard is faster and more responsive, which will leverage machine learning, artificial intelligence and to automate network management and security.

Where is the most 5G in the world?

The top three countries that have the most cities with 5G are China, the United States, and South Korea.

When 5G will launch in India?

Jio one of the leading network providers in India has announced that they will be ready to deploy 5G technology in the third half of 2022.