About My Health Careers Internship MedBlogs Contact us
Medindia LOGIN REGISTER
Advertisement

Artificial Intelligence and Machine Learning to Predict Heart Attack Risk

by Colleen Fleiss on February 21, 2018 at 1:17 AM
Font : A-A+

Artificial Intelligence and Machine Learning to Predict Heart Attack Risk

Google's new artificial intelligence program helps predict heart attack risk by looking at your eyes. Scientists say the new finding could provide a simpler way to predict cardiovascular disease risk.

"AI offers us the potential for new, less invasive tests for heart health -- predicting cardiovascular results from retinal images with computer vision -- encouraging early results!," Google CEO Sundar Pichai said on Tuesday while referring the study in a tweet.

Advertisement


The study, published in the journal Nature Biomedical Engineering, showed that deep learning applied to a retinal fundus image, a photograph that includes the blood vessels of the eye, can predict risk factors for heart diseases -- from blood pressure to smoking status.

The algorithm that the researchers produced can even help predict the occurrence of a future major cardiovascular event on par with current measures, said Michael McConnell, Head of Cardiovascular Health Innovations at Verily in blog post.
Advertisement

Cardiovascular disease is the leading cause of death globally and researchers know that lifestyle factors including exercise and diet in combination with genetic factors, age, ethnicity, and sex all contribute to it.

However, they do not exactly know how these factors add up in a particular individual, and so in some patients it becomes essential to perform sophisticated tests, like coronary calcium CT scans, to help better stratify an individual's risk for having a heart attack or a stroke, and such other cardiovascular events.

In this study, using deep learning algorithms trained on data from 284,335 patients, the researchers were able to predict cardiovascular risk factors from retinal images with surprisingly high accuracy for patients from two independent datasets of 12,026 and 999 patients.

The algorithm could distinguish the retinal images of a smoker from that of a non-smoker 71 per cent of the time, the study found.

"In addition, while doctors can typically distinguish between the retinal images of patients with severe high blood pressure and normal patients, our algorithm could go further to predict the systolic blood pressure within 11 mmHg on average for patients overall, including those with and without high blood pressure," study co-author Lily Peng, Product Manager, Google Brain Team, said.

"One of the exciting aspects of this study is the generation of 'attention maps' to show which aspects of the retina contributed most to the algorithm, thus providing a window into the 'black box' often associated with machine learning," McConnell, who is also a co-author of the study, said.

This can give clinicians greater confidence in the algorithm, and potentially provide new insights into retinal features not previously associated with cardiovascular risk factors or future risk, McConnell said.

The findings suggest that a simple retinal image could one day help understand the health of a patient's blood vessels, key to cardiovascular health.

"This is promising, but early research -- more work must be done to develop and validate these findings on larger patient cohorts before this can arrive in a clinical setting," McConnell added.

Source: IANS
Advertisement

Advertisement
News A-Z
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z
News Category
What's New on Medindia
Contraceptive Pills in Polycystic Ovary Syndrome (PCOS) Curtail Type 2 Diabetes Risk
Mushroom May Help Cut Down the Odds of Developing Depression
How to Battle Boredom during COVID
View all

Medindia Newsletters Subscribe to our Free Newsletters!
Terms & Conditions and Privacy Policy.

More News on:
Chest Pain Cardiac Catheterization Heart Attack Diet Lifestyle and Heart Disease Coronary Artery Bypass Grafting Stress and the Gender Divide Heart Attack Facts Heart Heart Attack- Lifestyle Risks Healthy Heart 

Recommended Reading
Artificial intelligence in Healthcare
Artificial intelligence (AI) in healthcare is the discipline using data intensive computer based ......
Calculate Your Lifetime Risk of Heart Attack
Heart Risk Calculator assesses the lifetime risk for a heart attack and helps in making the right .....
Quiz on Heart Attack
The risk factors that work behind the scene before a heart attack are familiar to many. But do ......
Artificial Intelligence Technology To Analyze Kidney Disease
The computer model helps analyze kidneys and detect the severity of the disease especially in areas ...
Cardiac Catheterization
Cardiac catheterization is a radiological procedure for both diagnosis and treatment of heart condit...
Chest Pain
Ask any one who has experienced intense chest pain and they will vouch for the fact that it was the ...
Coronary Artery Bypass Grafting
Coronary artery bypass grafting (CABG) or heart bypass surgery is an open heart surgery to relieve t...
Heart Attack
Heart attack is the death of the heart muscle due to loss of blood supply. Heart disease is the lead...
Heart Attack- Lifestyle risks
Heart attack is the death of the heart muscle due to loss of blood supply. Simple guidelines to avoi...
Stress and the Gender Divide
Stress has become entwined in the current lifestyle of a young working couple and has resulted in th...

Disclaimer - All information and content on this site are for information and educational purposes only. The information should not be used for either diagnosis or treatment or both for any health related problem or disease. Always seek the advice of a qualified physician for medical diagnosis and treatment. Full Disclaimer

© All Rights Reserved 1997 - 2021

This site uses cookies to deliver our services. By using our site, you acknowledge that you have read and understand our Cookie Policy, Privacy Policy, and our Terms of Use