Creators of Wearable Health Devices are researching ways to utilize artificial intelligence (AI) technology to monitor users’ health. Prior to the incorporation of AI technology, wearables were used to monitor heart rate, blood pressure, glucose levels, and body temperature. Through the use of artificial intelligence, wearable health devices will be able to accurately predict the user’s movements even if the wearable is removed from the person.

Health Monitors as Adhesive Patches

Assistant Professor Sihong Wang from the Pritzker School of Molecular Engineering at the University of Chicago is currently leading a team who is developing a chip that will collect data from biosensors. This chip will utilize Machine Learning to draw conclusions about the wearers’ health by sticking to the skin. 

If Professor Sihong Wang and his team’s development becomes a success, wearable biosensors can assist with the management of users’ health, as well as keeping track of various vitals such as blood sugar and oxygen levels, movement, detecting stress levels, and tracking heart rhythm. The advanced technology the team is using can even track electrocardiogram information.

Machine learning algorithms are already found in wearable heart monitors and various smartphone applications, allowing doctors to monitor heart conditions closely.

But, of course, as with any medical data like this, it can open up a whole other can of worms where privacy and security are of concern when integrated with various technology solutions.

Artificial intelligence will more than likely play a crucial role in the healthcare systems over the next few years due to its unique ability to process large amounts of data in a productive and efficient manner.

Artificial Intelligence is Helpful in IT Too

Although the kind of chip that was described earlier may have limited functionality in an office environment, it serves as an example of how advanced AI technology has become, by having the ability to automate tasks and data collection, as well as assist in workflow automation. With the use of proactive technological solutions, your systems can be automatically monitored for signs of security discrepancies or decline in the systems. Besides assisting in healthcare settings, artificial intelligence can also help businesses address any issues or complications with technology.

AI can be divided into five different technology parts: machine learning, deep learning, natural language processing, image processing, and speech recognition. A central role in the IT industry includes machine learning and deep learning.

Machine learning focuses on how a computer program is able to examine data using specific algorithms. In other words, a computer is trained to analyze large amounts of data at one time and then learn how to perform those particular tasks. Deep learning is a subcategory of machine learning and is similar. In deep learning, a computer system is trained to perform specific tasks from sounds, texts, or images.

Artificial intelligence can also be used in service management. AI can be utilized with service automation, allowing companies to be more productive and effective, resulting in faster, cost-effective delivery services.

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