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What are artificial neural networks and what they can do? V. Dohnal, K. Kuca, D. Jun. Biomed Pap Med Fac Univ Palacky Olomouc Czech Repub 2005: 149(2); 221-4. [Medline] [PDF] The artificial neural networks (ANN) are very often applied in many areas of toxicology for the solving of complex problems, such as the prediction of chemical compound properties and quantitative structure-activity relationship. The aim of this contribution is to give the basic knowledge about conception of ANN, theirs division and finally, the typical application of ANN will be discussed. Due to the diversity of architectures and adaptation algorithms, the ANNs are used in the broad spectrum of applications from the environmental processes modeling, through the optimization to quantitative structure-activity relationship (QSAR) methods. In addition, especially ANNs 32with Kohonen learning are very effective classification tool. The ANNs are mostly applied in cases, where the commonly used methods does not work.
Application of neural networks in medicine - a review. Kornel Papik, Bela Molnar, Rainer Schaefer, Zalan Dombovari, Zsolt Tulassay, Janos Feher. Med Sci Monit 1998: 4(3); 538-546. [Abstract] [PDF] 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.