The detection and prevention of heart disease are evolving through the innovative use of artificial intelligence, led by Dr. Joshua Hutcheson at Florida International University. Inspired by vocal studies, Hutcheson’s team focuses on identifying subtle differences in heartbeats using digital stethoscopes and machine learning. This technology aims to detect cardiovascular diseases earlier, potentially before severe symptoms arise. By analyzing audio data, the AI model can improve patient care, allowing for timely interventions and better treatment strategies, shifting the approach from reactive to preventative healthcare.
According to the Centers for Disease Control and Prevention, heart disease remains the leading cause of death globally, often without symptoms until a serious event occurs.
The team's latest diagnostic approach combines digital stethoscopes and machine learning to analyze heartbeats, similar to how a musician may pick up an off-key note.
What we're doing is taking that signal and using machine learning to try to analyze that, to pick out very subtle changes that indicate the presence of disease.
This would just give us another tool... then your doctor can work with you to then make subtle changes or put you on a treatment that really gives you a better quality of life moving forward.
Collection
[
|
...
]