MAY 23, 2019 9:45 AM PDT

Artificial Intelligence In Cardiology

WRITTEN BY: Abbie Arce

The term artificial intelligence broadly refers to the use of algorithms to discover connections and insights buried within data sets. Although these insights might have been there all along, they may have been difficult to notice. Machine learning is an adaptive process of interpreting information from real-world data sets by making use of computers that learn from experiences. These machines are fed data and learn from repetition, in much the same way as a child.

As artificial intelligence and machine learning develop, they’re likely to find a permanent home in medicine. In exploring concepts like predictive modeling, the medical use of algorithms, and deep learning, we can discover ways these methods could be applied to cardiology. Scientists working on this incredible technology hope that someday we may use machines to help deliver precision medicine.

With the advent of genome sequencing and other data-rich technologies, cardiologists are required to interpret huge amounts of information. Simultaneously, healthcare systems are constantly scrutinized for their efficiency with patients demanding more personalized care, faster. Because of this, physicians require advanced tools to keep up.

This is where machine learning can enhance patient care. Not only can computers crunch massive amounts of data for research, but they can also aid physicians in diagnosing and treating patients with greater precision.

In the future, health data will not be collected solely in medical offices. Wearable technology, already popular with consumers and practitioners alike, will help by taking health readings remotely. These readings can then be sent to doctors and fed through machines for interpretation. Amongst many possible applications, this type of technology will allow patients who may have previously required hospital stays to be monitored remotely. Additionally, patients once required to come in for regularly scheduled testing may be able to conduct a test from the comfort of their own home.

One benefit of using AI in cardiology is the amount of data that can be analyzed. In cardiac medicine, imaging modalities like CAT scans, MRIs, and intravascular ultrasounds create enormous amounts of data. These data sets could not easily be studied via traditional statistical methods.

Today, machine learning can help to automate cardiac imaging workflows by providing faster readings, interpretation, and diagnosis. This is only one of many sources of possible data sets in cardiology, meaning the possibilities for automation are vast.

Although there is some debate as to whether AI will replace doctors in the near future, many believe machines will simply improve medicine by making doctors more efficient.

Despite all the excitement surrounding the use of AI in medicine, machines are not perfect. Even the best algorithm is limited by the data it receives. It is the job of scientists to decide what data is required by these machines for them to be most effective in medical roles.

In the above video, Dr. Paul Friedman, chair of cardiovascular medicine at the male clinic, discusses emerging AI technology and how it can be useful in Cardiovascular medicine.


 

Sources: CNBCResearch GateScience Direct

About the Author
  • Abbie is an AFAA certified personal trainer and fitness instructor with an interest in all things health-science. She has recently graduated with her BS in Applied Sport and Exercise Science from Barry University in Miami. Next, she intends to earn an MPH with a focus in Epidemiology.
You May Also Like
AUG 22, 2020
Cardiology
Can Playing Your Favorite Music Improve Your Physical Performance?
AUG 22, 2020
Can Playing Your Favorite Music Improve Your Physical Performance?
If you go to the gym, you will usually see people with headphones jamming out to their favorite music while exercising. ...
AUG 20, 2020
Cardiology
Cilia are Found to Have Vesicles That May Influence Heart Disease
AUG 20, 2020
Cilia are Found to Have Vesicles That May Influence Heart Disease
Cells have many specialized organelles, including a kind of signaling hub called a cilium, which sticks out of the surfa ...
SEP 01, 2020
Cardiology
Can the Protein Dysferlin Protect Your Heart from Reperfusion Injury
SEP 01, 2020
Can the Protein Dysferlin Protect Your Heart from Reperfusion Injury
Have you ever experienced the head rush you get from standing up to fast? Well, oddly enough, something similar happens ...
OCT 20, 2020
Cardiology
Investigating a New Method in Heart Repair
OCT 20, 2020
Investigating a New Method in Heart Repair
Cardiovascular disease is a widespread issue that affects millions across the world. One of the most common of these dis ...
OCT 21, 2020
Cell & Molecular Biology
Extracellular Vesicles Help Heart Cells Survive a Heart Attack
OCT 21, 2020
Extracellular Vesicles Help Heart Cells Survive a Heart Attack
During a heart attack, blood flow is blocked and cells lose oxygen and begin to die. Scientists are developing many new ...
NOV 01, 2020
Neuroscience
Depression Increases Risk of Having a Stroke
NOV 01, 2020
Depression Increases Risk of Having a Stroke
Researchers in Alabama have found that people who suffer from multiple depressive symptoms are at an increased risk of h ...
Loading Comments...