AI (Artificial Intelligence) Could Predict Heart Attacks and Stroke

In probably one of the challenging researches ever done, scientists succeeded in understanding the advantages of artificial intelligence. They performed CMR scans for more than 1,000 patients and utilized the the latest automated AI method to examine the images.

For scientists, it was the first time when they included the artificial intelligence in their tests for measuring the blood flow. What they found was genuinely intriguing. They can now forecast chances of heart attack, stroke, and death. The gathered data can also be used by doctors to indicate the best treatments, which could enhance a patient’s blood flow.

Artificial Intelligence (AI) Shed Light in Medical Care

It is known that heart diseases are the leading worldwide cause of illness and death. Decreased blood flow, which might be sometimes treatable, is a general symptom of most known heart issues.

“We have tried to measure blood flow manually before, but it is tedious and time-consuming, taking doctors away from where they are needed most, with their patients,” stated James Moon from the University College London in the UK.

Worldwide guidelines, hence, prescribe several evaluations to examine and calculate a patient’s blood flow, but many of them are invasive and conduct risk. Non-invasive blood flow evaluations are available, such as CMR imaging (Cardiovascular Magnetic Resonance). However, until now, the scan images have proved to be challenging to examine more precisely enough to bring a prognosis or suggest treatment.

The New Study on AI

For this research, the team of scientists compared the AI-generated blood flow results with the health issues of each patient. They discovered that people with decreased blood flow were more prone to encounter adverse health issues such as stroke, heart failure, heart attack, or death.

The AI (Artificial Intelligence) method was hence displayed for the first time to be capable in forecasting which patients might suffer adverse events or die, better than a doctor could tell using traditional techniques.