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Research article summary:
Survey on the use of smart and adaptive engineering systems in medicine.
Abstract Extract:
In this paper, the current published knowledge about smart and adaptive engineering systems in medicine is reviewed. The achievements of frontier research in this particular field within medical engineering are described. A multi-disciplinary approach to ... (Full abstract text below) Published 2002Nov
in Journal: Artif Intell Med
(Language : eng)
Full Pubmed Extract
This information was retrieved, real-time, on your behalf from the public area of the Pubmed website:
1. Artif Intell Med.
2002 Nov;26(3):179-209
Survey on the use of smart and adaptive engineering systems in medicine.
Abbod MF, Linkens DA, Mahfouf M, Dounias G
Department of Automatic Control and Systems Engineering, University of Sheffield, Mappin Street, Sheffield, S1 3JD, UK. m.f.abbod@shef.ac.uk
In this paper, the current published knowledge about smart and adaptive engineering systems in medicine is reviewed. The achievements of frontier research in this particular field within medical engineering are described. A multi-disciplinary approach to the applications of adaptive systems is observed from the literature surveyed. The three modalities of diagnosis, imaging and therapy are considered to be an appropriate classification method for the analysis of smart systems being applied to specified medical sub-disciplines. It is expected that future research in biomedicine should identify subject areas where more advanced intelligent systems could be applied than is currently evident. The literature provides evidence of hybridisation of different types of adaptive and smart systems with applications in different areas of medical specifications.
PMID : 12446078 [PubMed - Indexed for MEDLINE]
This information is obtained from the National Library of Medicine (NLM). Abstract text and other information may be subject to copyright. Type "NLM copyright" into Google for more information.
Full Author Information
| First Name | LastName | Initials |
| M F | Abbod | MF |
| D A | Linkens | DA |
| M | Mahfouf | M |
| G | Dounias | G |
Affiliation: Department of Automatic Control and Systems Engineering, University of Sheffield, Mappin Street, Sheffield, S1 3JD, UK. m.f.abbod@shef.ac.uk
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Category links from this article:- Artificial Intelligence
- Biomedical Engineering - trends
- Data Collection
- Delivery of Health Care - trends
- Humans
- Specialties, Medical - trends
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