It may be someday be possible to use artificial intelligence (AI) algorithms to gauge a person’s risk of cardiovascular disease (CVD). That’s according to research being done by Catherine Kreatsoulas, research fellow in the Department of Social and Behavioral Sciences at Harvard T.H. Chan School of Public Health.
In an April 29, 2016 Huffington Post article, Kreatsoulas said her research on gender differences in CVD and its symptoms suggests that women’s symptoms aren’t all that different than men’s, but that the way men and women describe their symptoms—or the way that doctors interpret them—may be different.
Kreatsoulas’ research, called the HERMES study, is testing if AI algorithms can mine information about how patients describe their symptoms to predict the likelihood of CVD. The hope is that these algorithms will lead to the development of a lexicon to help better decode symptoms so that diagnoses can be more accurate.
Read the Huffington Post article: Can Artificial Intelligence Identify Your Next Heart Attack?
Women dismiss heart disease warning signs more than men (Harvard Chan School news)
Women generally have same heart disease symptoms as men (Harvard Chan School news)