Application of neural networks in medicine - A review

K. Papik, B. Molnar, R. Schaefer, Z. Dombovari, Z. Tulassay, J. Feher

Research output: Contribution to journalArticle

74 Citations (Scopus)

Abstract

The main aim of research in medical diagnostics is to develop more exact, cost-effective and easy-to-use systems, procedures and methods for supporting clinicians. In this paper the authors introduce a new method that recently came into the focus referred to as computer generated neural networks. Based on the literature of the past 5-6 years they give a brief review - highlighting the most important articles - showing the idea behind neural networks and where they are used in the medical field. The definition, structure and operation of neural networks are discussed. In the application section they discuss examples in order to give an insight into neural network application research. It is emphasized that in the near future completely new diagnostic equipment can be developed based on this new technology in the field of ECG, EEG and macroscopic and microscopic image analysis systems.

Original languageEnglish
Pages (from-to)538-546
Number of pages9
JournalMedical Science Monitor
Volume4
Issue number3
Publication statusPublished - Jan 1 1998

Keywords

  • Artificial intelligence
  • Classification
  • Medical diagnosis
  • Neural network
  • Signal processing

ASJC Scopus subject areas

  • Medicine(all)

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