Cited by 905Artificial Intelligence in HealthcareNeural Networks and ApplicationsArtificial Intelligence in Healthcare and Education

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Artificial neural networks in medical diagnosis

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Amato, Filippo, López, Alberto, Peña-Méndez, Eladia María, Vaňhara, Petr, Hampl, Aleš, Havel, Josef·2013·Journal of Applied Biomedicine

DOI 10.2478/v10136-012-0031-x

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Abstract

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 examples.

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Authors: Amato, F., López, A., Peña-Méndez, E. M., Vaňhara, P., Hampl, A., & Havel, J.
Affiliations: Masaryk University (CZ)
Universidad de Salamanca (ES)
ORCID: Amato, Filippo
López, Alberto
Vaňhara, Petr
Hampl, Aleš
Havel, Josef
Venue: Journal of Applied Biomedicine
Publisher: University of South Bohemia in Ceske Budejovice
Published: 2013-07-31
Volume: 11
Issue: 2
Pages: 47-58
ISSN: 1214-021X (ISSN-L)
1214-0287
DOI: 10.2478/v10136-012-0031-x
OpenAlex: W2137687977
Cited by: 898
References: 58
Citations by year: 2026: 7 · 2025: 46 · 2024: 71 · 2023: 69 · 2022: 89 · 2021: 107 · 2020: 104 · 2019: 93 · 2018: 104 · 2017: 70 · 2016: 62 · 2015: 36 · 2014: 32 · 2013: 5
FWCI: 77.96
Type: journal article
Language: en
Open access: bronze
doi.org
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations: Journal of Applied Biomedicine (publishedVersion)
Funders: Universidad de La Laguna
Grantová Agentura České Republiky (MSM0021627501, CZ.1.05/1.1.00/02.0123, MSM0021622430, CZ.1.05/2.1.00/03.0086, GA202/07/1669, GA104/08/0229)
European Regional Development Fund (MSM0021622430, CZ.1.05/1.100, CZ.1.07/2.3.00/20.0185, CZ.1.05/2.1.00/03.0086, CZ.1.05/1.1.00/02.0123.)
Topics: Health Sciences › Health Professions › Health Information Management › Artificial Intelligence in Healthcare
Physical Sciences › Computer Science › Artificial Intelligence › Neural Networks and Applications
Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
Keywords: artificial neural networks, computer-aided diagnosis, diagnosis, clinical decision support, adaptive learning algorithms, misdiagnosis prevention

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Artificial neural networks in medical diagnosis

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