Document Detail

Neural networks and artificial intelligence in thoracic surgery.
MedLine Citation:
PMID:  18072356     Owner:  NLM     Status:  MEDLINE    
The human brain has billions of neurons and connections that cannot be emulated by computers. This structure could explain the anatomical basis of typically human psychological activities like intuition or artistic creation. On the other hand, the computer-organized way of "reasoning" binary problems through systematic comparison of a large number of data-as AIM does--is impossible to be emulated by humans. At the same time, AIM, through the use of different methods like ANN or DM systems, is able to give individualized answers to otherwise probabilistic population problems. Hence, that is the reason for its application in the assessment of surgical risk in lung resection candidates. With regard to AIM methodology, many issues could be addressed and argued, especially on the data collection because of the retrospective nature of the data on which the available contributions from the literature are based. In the larger studies, patients from different centers treated by different surgical teams were included. Both circumstances could have caused heterogeneity of the study groups, which, in turn, can lead to less-reliable conclusions. Even if limited, our experience became an appealing one because AIM seems to be a potentially useful complementary tool to the nonreplaceable clinical judgment.
Hugo Esteva; Tomás G Núñez; Ricardo O Rodríguez
Related Documents :
14684266 - Use of genetic algorithms for neural networks to predict community-acquired pneumonia.
19309176 - Prediction of hplc retention index using artificial neural networks and igroup e-state ...
12929716 - A study on prediction of the bio-toxicity of substituted benzene based on artificial ne...
10948396 - Prediction of plasma levels of aminoglycoside antibiotic in patients with severe illnes...
22383106 - Further validation of the warwick-edinburgh mental well-being scale (wemwbs) in the uk ...
8302036 - Bone stress adaptation models.
Publication Detail:
Type:  Journal Article; Review    
Journal Detail:
Title:  Thoracic surgery clinics     Volume:  17     ISSN:  1547-4127     ISO Abbreviation:  Thorac Surg Clin     Publication Date:  2007 Aug 
Date Detail:
Created Date:  2007-12-12     Completed Date:  2008-01-17     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101198195     Medline TA:  Thorac Surg Clin     Country:  United States    
Other Details:
Languages:  eng     Pagination:  359-67     Citation Subset:  IM    
Division of Thoracic Surgery, Hospital de Clínicas, Universidad de Buenos Aires, Av. San Martin 1039, (1661) Bella Vista, Provincia de Buenos Aires, República Argentina
Export Citation:
APA/MLA Format     Download EndNote     Download BibTex
MeSH Terms
Artificial Intelligence*
Neural Networks (Computer)*
Surgery, Computer-Assisted / methods*
Thoracic Diseases / surgery*
Thoracic Surgical Procedures / methods*
Treatment Outcome

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

Previous Document:  The European societies subjective and objective scores.
Next Document:  Clinical and nonclinical indicators of performance in thoracic surgery.