Artificial intelligence is being utilized by researchers at the University of Saskatchewan in order to improve their ability to detect signs and symptoms of cardiovascular disease (CVD). In addition to this, one of their goals is to extract additional information from imaging techniques such as CT scans. Find out all the information that is listed here, including the researchers’ goals and the outcomes.
When we think of age, we think of it based on a patient’s year of birth, but there are more effective ways to think about the concept of age; […] attempting to get at some of these genetic, epigenetic, environmental, and lifestyle factors that all come together to modify a patient’s rate of aging, explained Dr. Scott Adams, assistant professor at the University of Saskatchewan.
Researchers brought attention to the fact that cardiovascular disease is really the leading cause of death all over the world. As a consequence of this, it is essential to identify patients who have a high risk of cardiovascular disease in order to provide them with appropriate therapies that will lower that risk.
In what ways are researchers putting artificial intelligence to use?
Because of the capabilities of artificial intelligence, the research team was able to extract more information from CT images, allowing them to examine the topic in greater detail and provide some much-needed insights.
Therefore, in order for this to take place, the researchers at the University of Saskatchewan collaborated with Seok-Bum Ko, who works in the College of Engineering, to design a new model that estimates biological age more correctly.
What is the biological age?
The term “biological age” refers to the estimated number of years that have passed since a person’s cells and tissues were first formed. If you are very fit and healthy for your age, it is possible that your biological age is less than your chronological age. Your biological age could be higher, though, if you lead a sedentary lifestyle or are not in good physical shape.
