About Careers Internship MedBlogs Contact us
Medindia LOGIN REGISTER
Advertisement

Mayo Researchers Say Artificial Intelligence can Diagnose Cardiac Infections

by Rajashri on September 14, 2009 at 10:10 PM
Font : A-A+

 Mayo Researchers Say Artificial Intelligence can Diagnose Cardiac Infections

A "teachable software" designed to mimic the human brain may help in diagnosing cardiac infections without an invasive exam, according to Mayo Clinic researchers. Those findings are being presented today at the Interscience Conference on Antimicrobial Agents and Chemotherapy (ICAAC) in San Francisco.

Endocarditis -- an infection involving the valves and sometimes chambers of the heart -- can be a problem in patients with implanted medical devices. It is serious and can be deadly. The mortality rate can be as high as one in five, even with aggressive treatment and removal of the device. With additional complications, the mortality could be over 60 percent. Diagnosis usually requires transesophageal echocardiography, an invasive procedure that also has risks. It involves use of an endoscope and insertion of a probe down the esophagus.

Advertisement

The software program is called an "artificial neural network" (ANN) because it mimics the brain's cognitive function and reacts differently to situations depending on its accumulated knowledge. That knowledge or training is provided by researchers, similar to how a person would "train" a computer to play chess, by introducing it to as many situations as possible. In this case, the ANN underwent three separate "trainings" to learn how to evaluate the symptoms it would be considering.

"If, through this novel method, we can help determine a percentage of endocarditis diagnoses with a high rate of accuracy, we hope to save a significant number of patients from the discomfort, risk and expense of the standard diagnostic procedure," says M. Rizwan Sohail, M.D., a Mayo Clinic infectious diseases specialist and leader of the study.
Advertisement

The team studied 189 Mayo patients with device-related endocarditis diagnosed between 1991 and 2003. The ANN was tested retrospectively on the data from these cases. When tested on cases with known diagnosis of endocarditis, the best-trained ANN was correct most of the time (72 of 73 implant-related infections and 12 of 13 endocarditis cases) with a confidence level greater than 99 percent.

Researchers say that, when used on an overall sample that included both known and unknown cases, the ANN accurately excluded endocarditis in at least half of the cases, thus eliminating half the cohort from a needless invasive procedure.



Source: Eurekalert
RAS
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
What's New on Medindia
Are Menopause Symptoms Troubling You?: Try these Options
Vaccination  And Counter  Measures Against  Monkeypox
Indian Railways Special Concession on Health Grounds
View all
Recommended Reading
News Archive
Date
Category
Advertisement
News Category

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

More News on:
Palpitations And Arrhythmias Statins Cardiomyopathy Intellectual disability Ways to Improve your Intelligence Quotient (IQ) Artificial intelligence in Healthcare Test Your Knowledge on Artificial Intelligence 

Most Popular on Medindia

The Essence of Yoga Nutam (400mg) (Piracetam) Accident and Trauma Care Vent Forte (Theophylline) Noscaphene (Noscapine) Indian Medical Journals Blood Pressure Calculator Pregnancy Confirmation Calculator Blood Donation - Recipients Hearing Loss Calculator

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 - 2022

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