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Artificial neural networks in medical diagnosis

Filippo Amato, Alberto López, Eladia María Peña-Méndez, Petr Vaňhara, Aleš Hampl, Josef Havel

. 2013 ; 11 (2) : 47-58.

Language English Country Czech Republic

Document type Introductory Journal Article, Research Support, Non-U.S. Gov't

Persistent link   https://www.medvik.cz/link/bmc13028206

An extensive amount of information is currently available to clinical specialists, ranging from details of clinical symptoms to various types of biochemical data and outputs of imaging devices. Each type of data provides information that must be evaluated and assigned to a particular pathology during the diagnostic process. To streamline the diagnostic process in daily routine and avoid misdiagnosis, artificial intelligence methods (especially computer aided diagnosis and artificial neural networks) can be employed. These adaptive learning algorithms can handle diverse types of medical data and integrate them into categorized outputs. In this paper, we briefly review and discuss the philosophy, capabilities, and limitations of artificial neural networks in medical diagnosis through selected exampl

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$a López, Alberto $7 _AN074453 $u Department of Chemistry, Faculty of Science, Masaryk University, Brno, Czech Republic; University, Salamanca, Spain
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$a Peña-Méndez, Eladia María $u Department of Analytical Chemistry, Nutrition and Food Science, Faculty of Chemistry, University of La Laguna, La Laguna, Tenerife, Spain
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$a Vaňhara, Petr, $d 1980- $7 xx0106079 $u Department of Histology and Embryology, Faculty of Medicine, Masaryk University, Brno, Czech Republic
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$a Hampl, Aleš, $d 1962- $7 ola2002153626 $u Department of Histology and Embryology, Faculty of Medicine, Masaryk University, Brno, Czech Republic; International Clinical Research Center, St. Anne's University Hospital, Brno, Czech Republic
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$a Havel, Josef, $d 1940- $7 jk01040227 $u Department of Chemistry, Faculty of Science, Masaryk University, Brno, Czech Republic; Department of Physical Electronics, Faculty of Science, Masaryk University, Brno, Czech Republic; R&D Centre for low-cost plasma and nanotechnology surface modifications, CEPLANT , Masaryk University, Brno, Czech Republic
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