Document Detail

WeAidU-a decision support system for myocardial perfusion images using artificial neural networks.
MedLine Citation:
PMID:  14684264     Owner:  NLM     Status:  MEDLINE    
This paper presents a computer-based decision support system for automated interpretation of diagnostic heart images (called WeAidU), which is made available via the Internet. The system is based on image processing techniques, artificial neural networks (ANNs) and large well-validated medical databases. We present results using artificial neural networks, and compare with two other classification methods, on a retrospective data set containing 1320 images from the clinical routine. The performance of the artificial neural networks detecting infarction and ischemia in different parts of the heart, measured as areas under the receiver operating characteristic curves, is in the range 0.83-0.96. These results indicate a high potential for the tool as a clinical decision support system.
Mattias Ohlsson
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Publication Detail:
Type:  Comparative Study; Journal Article; Research Support, Non-U.S. Gov't; Review    
Journal Detail:
Title:  Artificial intelligence in medicine     Volume:  30     ISSN:  0933-3657     ISO Abbreviation:  Artif Intell Med     Publication Date:  2004 Jan 
Date Detail:
Created Date:  2003-12-19     Completed Date:  2004-04-02     Revised Date:  2006-11-15    
Medline Journal Info:
Nlm Unique ID:  8915031     Medline TA:  Artif Intell Med     Country:  Netherlands    
Other Details:
Languages:  eng     Pagination:  49-60     Citation Subset:  IM    
Department of Theoretical Physics, Lund University, Sölvegatan 14A, SE-223 62, Lund, Sweden.
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MeSH Terms
Coronary Angiography
Decision Making, Computer-Assisted*
Myocardial Infarction / diagnosis*,  therapy
Myocardial Ischemia / radionuclide imaging*
Myocardial Reperfusion
Neural Networks (Computer)*
Radionuclide Imaging
Retrospective Studies

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

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