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Loss of life from heart-related problems occurs suddenly and often without warning, so they are almost impossible to predict.
But that could change, thanks to 3D imaging technology and artificial intelligence (AI).
Researchers at Johns Hopkins University are working to create more accurate and personalized models of a patient’s heart.
““For now, we can only say whether a patient is at risk or not for a sudden heart attack.”says Dan Popescu, scientist of this research.
With new technology, researchers may be able to not only predict if someone is at risk for a sudden heart attack, but also when it is most likely to happen.
Heart in 3D
Today’s tests provide some insight into the composition of the heart.
They offer only one picture, showing heart health in just one moment and can not predict the future.
This is why scientists are going further to develop 3D digital copies of the heart, known as computational models.
Computational models are computer-simulated copies that combine mathematics, physics, and computer science.
These models have existed for a long time and are used in many fields, ranging from production to economics.
In medicine, these models are filled with digital “cells.”
They mimic living cells and can be programmed with different electrical properties, depending on whether they are healthy or not.
By assigning this digital image an electrical stimulus, researchers can assess how the heart can respond and predict what will happen.
This type of technology means that even treatments will be better and more accurate for heart disease.
Using artificial intelligence to predict health outcomes
Scientists say AI technology can analyze heart damage in a successful way.
The algorithm collects information from 3D computing models of the heart, patient test data such as MRI, ethnicity, age, lifestyle and other information.
Data collection can produce accurate and consistent assessments to see if a patient is at risk for a sudden cardiac attack.
Although the study was conducted for patients with a specific type of heart disease, experts say the algorithm could be adapted to evaluate other problems as well.
When can this type of technology be used in the population as well?
Researchers predict that 3D image of heart patterns may be available in 2 years.
However this type of technology will require more study and approval, so the timeline is not yet very clear./ AgroWeb
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