FEB 16, 2022 3:45 PM PST

The Future of Artificial Intelligence and Valvular Heart Disease

The heart is made up of valves that open and close with blood flow as the heart muscle relaxes and contracts. Valvular heart disease (VHD) can have many underlying causes and occurs when these valves fail to work effectively. It is estimated 2.5% of the current United States population has VHD, and it is responsible for over 25,000 deaths each year. Due to advances in diagnostic technology, such as echocardiography, and advanced treatment approaches such as valve replacement, VHD is treatable in many cases. However, it is estimated that many patients go undiagnosed, despite millions of echocardiograms ordered in North America each year. Many human limitations still exist, particularly when it comes to cardiac image acquisition, interpretation, disease state identification, and prognostication. Artificial intelligence (AI) can assist in mitigating many of these limitations given its ability to drive complex-decision making in a short amount of time.

The effective acquisition of an echocardiogram requires significant training and experience. It is estimated that only about 83% of tricuspid valve images obtained by novice practitioners are evaluable. AI can assist by developing programs that guide image acquisition with a higher degree of accuracy by precisely identifying views that allow for the most valuable information. Deep learning can also assist with disease state identification, given its ability to recognize subtleties in data that humans cannot. A recently developed algorithm can automatically assess mitral valve regurgitation severity with over 99% accuracy by identifying “micro-pattern” information.

There are also many variables detected by echocardiography that are likely underutilized for disease state phenotyping because we don’t fully understand their value. AI can elucidate non-linear associations between many predictors and various outcome metrics without any prior knowledge. These abilities make it uniquely suited to uncover some of these less understood variables and guide future research and development.

The use of AI to manage VHD is not without drawbacks. Much of AI is not yet refined to reduce “noise” and other elements that limit its utility. There is also controversy regarding patient privacy, potential bias in programming, and data security, limiting its widespread adoption. However, given the ever-growing time constraints, patient data, and financial cost of poor health outcomes, improved AI models should be implemented stepwise to manage VHD more efficiently. AI tools can significantly improve diagnostic accuracy and pave new directions for research and development in this field and perhaps many others.

 

Sources: CDC, BMJ, Computers in Biology and Medicine

About the Author
MD
Dr. Christopher DiMaio is a Science Writer at Labroots. He received his MD from Penn State College of Medicine in 2014. His academic and professional interests include Neuroscience, Behavioral health, Immunology, and Healthcare improvement, among others. He is an active part of his community.
You May Also Like
JAN 25, 2022
Cardiology
Fried Foods Increase Your Risk of Heart Disease
JAN 25, 2022
Fried Foods Increase Your Risk of Heart Disease
Fried foods are a favorite in the American diet, but regular consumption increases your risk of heart disease and death.
MAR 31, 2022
Cancer
New Study Finds No Link between Childhood Obesity and Thyroid Cancer
MAR 31, 2022
New Study Finds No Link between Childhood Obesity and Thyroid Cancer
The incidence of thyroid cancer among children has been increasing over recent decades. Similarly, cases of childhood ob ...
APR 21, 2022
Cardiology
Physical Activity Improves Memory Function
APR 21, 2022
Physical Activity Improves Memory Function
Just 10 minutes of mild exercise immediately improves brain connectivity.
APR 24, 2022
Technology
Portable MRIs for Detecting Stroke
APR 24, 2022
Portable MRIs for Detecting Stroke
Strokes are considered medical emergencies. They happen quickly and with devastating results. During a stroke, blood flo ...
MAY 19, 2022
Cardiology
Death from Heart Attacks More Common in US than Other High-Income Countries
MAY 19, 2022
Death from Heart Attacks More Common in US than Other High-Income Countries
The US has a high rate of heart attack mortality compared to other high-income countries.
JUN 19, 2022
Drug Discovery & Development
Math Model Predicts Anti-inflammatory Drug Efficacy Post-heart Attack
JUN 19, 2022
Math Model Predicts Anti-inflammatory Drug Efficacy Post-heart Attack
Researchers created a mathematical model that can predict drug combinations that may one day help treat heart attacks. T ...
Loading Comments...