Daily we talk about new devices created to make our lives easier. However, from time to time others appear that are directly created to save lives. It is the case of this small device that can save many lives using artificial intelligence.
Yes, we know, artificial intelligence, in some cases, has become the resource that some companies have to say "hey, I also use AI." However, it is an investment that makes a lot of sense in some sectors, such as health.
And, the device that you see in the image that we leave below is a portable sensor that emits a signal to workstations that, thanks to artificial intelligence, determine if the person will suffer a heart attack before doctors and The person himself be aware.
It is a device created by the University of Utah and has already been successfully tested on 100 patients in several cities in the United States. The team is led by Josef Stehlik and the goal is ... well, collapse less the emergency hospitals and, above all, warn a patient about a future heart attack.
And, quite precisely, the patch is capable of accurately predicting the possibility of hospitalization for cardiac deterioration long before doctors or patients realize that something is wrong.
The study's co-author, the director of the Heart Failure Research Center of the Baylor College of Medicine, Biykem Bozkurt, says that although people survive a heart attack, they have the poor functional ability, and this patch can help prevent hospitalization and the attack itself.
How does it work? The patch, which sticks to the patient's chest is very little invasive, has a Bluetooth sensor that sends the information to a smartphone and, from there, it passes to an analysis platform that measures heart rate, respiratory rate, gait, sleep, body posture and other series of variants.
Put all the data in the shaker and, if something goes out of the ordinary, artificial intelligence sends a warning. In the United States, there are more than six million people with heart disease, and a third of them are hospitalized again 90 days after the first discharge.
There would begin monitoring with this patch and, according to the tests, the system accurately predicted an urgent hospitalization in 80% of cases, arriving this warning 10 days before readmission (when the patient usually realizes that something is going evil).
The goal now is to limit hospital readmissions by checking the patient days before a relapse thanks to the data of this artificial intelligence.
Although it seems futuristic, the truth is that similar systems were already being tested in other universities and centres, such as MIT. The good news is that these different studies show that technology and artificial intelligence can predict accidents and, in a high percentage, help minimize risks.
By the way, it is not as advanced, but the Apple Watch and its electrocardiogram sensor, if used correctly, has already helped save some lives, further proof of how technology can help us take care of our health. And, the truth, that such a small device is capable of saving lives in a way that is not invading, is great news.
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