Featured Research

from universities, journals, and other organizations

Artificial Intelligence Helps Diagnose Cardiac Infections

Date:
September 14, 2009
Source:
Mayo Clinic
Summary:
Researchers say that "teachable software" designed to mimic the human brain may help them diagnose cardiac infections without an invasive exam.

Mayo Clinic researchers say that "teachable software" designed to mimic the human brain may help them diagnose cardiac infections without an invasive exam. 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.

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.

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.

The research team included Loai Saadah, Pharm.D.; Tawam-Johns Hopkins Medicine, United Arab Emirates; and Daniel Uslan, M.D.; Paul Friedman, M.D.; David Hayes, M.D.; Walter Wilson, M.D.; James Steckelberg, M.D.; and Larry Baddour, M.D.; all of Mayo Clinic. The authors declared no conflicts of interest.


Story Source:

The above story is based on materials provided by Mayo Clinic. Note: Materials may be edited for content and length.


Cite This Page:

Mayo Clinic. "Artificial Intelligence Helps Diagnose Cardiac Infections." ScienceDaily. ScienceDaily, 14 September 2009. <www.sciencedaily.com/releases/2009/09/090912151652.htm>.
Mayo Clinic. (2009, September 14). Artificial Intelligence Helps Diagnose Cardiac Infections. ScienceDaily. Retrieved October 23, 2014 from www.sciencedaily.com/releases/2009/09/090912151652.htm
Mayo Clinic. "Artificial Intelligence Helps Diagnose Cardiac Infections." ScienceDaily. www.sciencedaily.com/releases/2009/09/090912151652.htm (accessed October 23, 2014).

Share This



More Health & Medicine News

Thursday, October 23, 2014

Featured Research

from universities, journals, and other organizations


Featured Videos

from AP, Reuters, AFP, and other news services

Orthodontist Mom Jennifer Salzer on the Best Time for Braces

Orthodontist Mom Jennifer Salzer on the Best Time for Braces

Working Mother (Oct. 22, 2014) Is your child ready? Video provided by Working Mother
Powered by NewsLook.com
U.S. Issues Ebola Travel Restrictions, Are Visa Bans Next?

U.S. Issues Ebola Travel Restrictions, Are Visa Bans Next?

Newsy (Oct. 22, 2014) Now that the U.S. is restricting travel from West Africa, some are dropping questions about a travel ban and instead asking about visa bans. Video provided by Newsy
Powered by NewsLook.com
US to Track Everyone Coming from Ebola Nations

US to Track Everyone Coming from Ebola Nations

AP (Oct. 22, 2014) Stepping up their vigilance against Ebola, federal authorities said Wednesday that everyone traveling into the US from Ebola-stricken nations will be monitored for symptoms for 21 days. (Oct. 22) Video provided by AP
Powered by NewsLook.com
Doctors Help Paralysed Man Walk Again, Patient in Disbelief

Doctors Help Paralysed Man Walk Again, Patient in Disbelief

AFP (Oct. 22, 2014) Polish doctors describe how they helped a paralysed man walk again, with the patient in disbelief at the return of sensation to his legs. Duration: 1:04 Video provided by AFP
Powered by NewsLook.com

Search ScienceDaily

Number of stories in archives: 140,361

Find with keyword(s):
Enter a keyword or phrase to search ScienceDaily for related topics and research stories.

Save/Print:
Share:

Breaking News:

Strange & Offbeat Stories


Health & Medicine

Mind & Brain

Living & Well

In Other News

... from NewsDaily.com

Science News

Health News

Environment News

Technology News



Save/Print:
Share:

Free Subscriptions


Get the latest science news with ScienceDaily's free email newsletters, updated daily and weekly. Or view hourly updated newsfeeds in your RSS reader:

Get Social & Mobile


Keep up to date with the latest news from ScienceDaily via social networks and mobile apps:

Have Feedback?


Tell us what you think of ScienceDaily -- we welcome both positive and negative comments. Have any problems using the site? Questions?
Mobile: iPhone Android Web
Follow: Facebook Twitter Google+
Subscribe: RSS Feeds Email Newsletters
Latest Headlines Health & Medicine Mind & Brain Space & Time Matter & Energy Computers & Math Plants & Animals Earth & Climate Fossils & Ruins