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Israel is using AI in healthcare on the back of its lead in Cybersecurity

Israeli startup using AI in healthcare
Israeli startup using AI in healthcare

Israel is one of the top countries where you will see a lot of the advanced technologies being used in the field of cybersecurity. You must have heard that Israel is great when it comes to its military but its online security is also as good as that. Now, we know that they are the global leaders in cybersecurity but they are now expanding this lead to different sectors as well. It has come to our notice that Israel is using AI for its healthcare system as well.

As you might be aware, Coronavirus is the latest epidemic that has gripped the entire world and is very close to becoming a pandemic. It is known that the rate of mortality for this virus is not as bad as some others but we still have to take precautions to avoid it as much as possible.

As per a report, the seasonal flu is known to be killing about 291,000 to 645,000 people worldwide each year. This means that the coronavirus is not deadlier than the other flu. But the fact that no immunity has been found against it makes it more severe.

This is also because of the hesitation in patients to take flu shots which make them susceptible to this seasonal flu and then cause deaths. Therefore, Israel is applying AI in healthcare to tell the patients about how much they are at risk for not taking these shots.

By applying AI algorithms to patient data, Israeli startup Medial EarlySign hopes to “prevent deaths and hospitalization,” Medial EarlySign’s CEO explains that “When the doctor does a test and tells you everything is in the ‘normal range,’ nothing to worry about, there is a lot of information there that they are not seeing that could suggest that you are at risk for certain clinical conditions,”.

“The traditional way to interpret lab tests—‘normal ranges’—is totally broken and has been for some time. With machine learning, we can see that there are patterns in normal-appearing labs that suggest that the patient has a high risk for or already having colorectal cancer, for example.”