RxPG News Feed for RxPG News

Medical Research Health Special Topics World
  Home
 
   Health
 Aging
 Asian Health
 Events
 Fitness
 Food & Nutrition
 Happiness
 Men's Health
 Mental Health
 Occupational Health
 Parenting
 Public Health
 Sleep Hygiene
 Women's Health
 
   Healthcare
 Africa
 Australia
 Canada Healthcare
 China Healthcare
 India Healthcare
 New Zealand
 South Africa
 UK
 USA
 World Healthcare
 
   Latest Research
 Aging
 Alternative Medicine
 Anaethesia
 Biochemistry
 Biotechnology
 Cancer
 Cardiology
  CAD
  CHF
  Clinical Trials
  Hypertension
  Myocardial Infarction
 Clinical Trials
 Cytology
 Dental
 Dermatology
 Embryology
 Endocrinology
 ENT
 Environment
 Epidemiology
 Gastroenterology
 Genetics
 Gynaecology
 Haematology
 Immunology
 Infectious Diseases
 Medicine
 Metabolism
 Microbiology
 Musculoskeletal
 Nephrology
 Neurosciences
 Obstetrics
 Ophthalmology
 Orthopedics
 Paediatrics
 Pathology
 Pharmacology
 Physiology
 Physiotherapy
 Psychiatry
 Radiology
 Rheumatology
 Sports Medicine
 Surgery
 Toxicology
 Urology
 
   Medical News
 Awards & Prizes
 Epidemics
 Launch
 Opinion
 Professionals
 
   Special Topics
 Ethics
 Euthanasia
 Evolution
 Feature
 Odd Medical News
 Climate

Last Updated: Oct 11, 2012 - 10:22:56 PM
Cardiology Channel

subscribe to Cardiology newsletter
Latest Research : Cardiology

   EMAIL   |   PRINT
Artificial Neural Network Software Can Diagnose Cardiac Infections

Sep 15, 2009 - 11:39:06 AM
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 -.

 
[RxPG] New research suggests that 'teachable software', designed to mimic the human brain, may help diagnose cardiac infections in a non-invasive manner.

Endocarditis -- an infection involving the valves and sometimes chambers of the heart -- can be a problem in patients with implants. It is a serious condition 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 can shoot up to over 60 percent -- or more than one in two.

Diagnosis usually requires an invasive procedure that also has risks.

The software programme is called an 'artificial neural network' - 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, leader of the study and Mayo Clinice, Minnesota, infectious diseases specialist.

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 -.

These findings were presented at the Interscience Conference on Antimicrobial Agents and Chemotherapy - in San Francisco.




Advertise in this space for $10 per month. Contact us today.


Related Cardiology News
New NIH-funded resource focuses on use of genomic variants in medical care
World Heart Day 2013
The higher the better?
Common blood pressure drug reduces aortic enlargement in Marfan syndrome
Cardiovascular risk factors highest in winter and lowest in summer
Quitting smoking drops heart attack risk to levels of never smokers
Study finds mechanical chest compressions are equally as effective as manual CPR
Impact of AF on stroke risk eliminated with multiple risk factors
Mass screening identifies untreated AF in 5% of 75-76 year olds
Diabetic stroke risk after AMI drops in 10 year period

Subscribe to Cardiology Newsletter

Enter your email address:


 Feedback
For any corrections of factual information, to contact the editors or to send any medical news or health news press releases, use feedback form

Top of Page

 
Contact us

RxPG Online

Nerve

 

    Full Text RSS

© All rights reserved by RxPG Medical Solutions Private Limited (India)