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Applications and challenges of neural networks in otolaryngology (Review)

  • Authors:
    • Iulian-Alexandru Taciuc
    • Mihai Dumitru
    • Daniela Vrinceanu
    • Mirela Gherghe
    • Felicia Manole
    • Andreea Marinescu
    • Crenguta Serboiu
    • Adriana Neagos
    • Adrian Costache
  • View Affiliations / Copyright

    Affiliations: Department of Pathology, ‘Carol Davila’ University of Medicine and Pharmacy, 020021 Bucharest, Romania, Department of ENT, ‘Carol Davila’ University of Medicine and Pharmacy, 050751 Bucharest, Romania, Department of Nuclear Medicine, ‘Carol Davila’ University of Medicine and Pharmacy, 022328 Bucharest, Romania, Department of ENT, Faculty of Medicine University of Oradea, 410073 Oradea, Romania, Department of Radiology and Medical Imaging ‘Carol Davila’ University of Medicine and Pharmacy, 050096 Bucharest, Romania, Department of Cell Biology, Molecular and Histology, ‘Carol Davila’ University of Medicine and Pharmacy, 050096 Bucharest, Romania, Department of ENT, ‘George Emil Palade’ University of Medicine, Pharmacy, Science, and Technology of Targu Mures, 540142 Mures, Romania
    Copyright: © Taciuc et al. This is an open access article distributed under the terms of Creative Commons Attribution License.
  • Article Number: 92
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    Published online on: April 19, 2024
       https://doi.org/10.3892/br.2024.1781
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Abstract

Artificial Intelligence (AI) has become a topic of interest that is frequently debated in all research fields. The medical field is no exception, where several unanswered questions remain. When and how this field can benefit from AI support in daily routines are the most frequently asked questions. The present review aims to present the types of neural networks (NNs) available for development, discussing their advantages, disadvantages and how they can be applied practically. In addition, the present review summarizes how NNs (combined with various other features) have already been applied in studies in the ear nose throat research field, from assisting diagnosis to treatment management. Although the answer to this question regarding AI remains elusive, understanding the basics and types of applicable NNs can lead to future studies possibly using more than one type of NN. This approach may bypass the actual limitations in accuracy and relevance of information generated by AI. The proposed studies, the majority of which used convolutional NNs, obtained accuracies varying 70-98%, with a number of studies having the AI trained on a limited number of cases (<100 patients). The lack of standardization in AI protocols for research negatively affects data homogeneity and transparency of databases.
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Copy and paste a formatted citation
Spandidos Publications style
Taciuc I, Dumitru M, Vrinceanu D, Gherghe M, Manole F, Marinescu A, Serboiu C, Neagos A and Costache A: Applications and challenges of neural networks in otolaryngology (Review). Biomed Rep 20: 92, 2024.
APA
Taciuc, I., Dumitru, M., Vrinceanu, D., Gherghe, M., Manole, F., Marinescu, A. ... Costache, A. (2024). Applications and challenges of neural networks in otolaryngology (Review). Biomedical Reports, 20, 92. https://doi.org/10.3892/br.2024.1781
MLA
Taciuc, I., Dumitru, M., Vrinceanu, D., Gherghe, M., Manole, F., Marinescu, A., Serboiu, C., Neagos, A., Costache, A."Applications and challenges of neural networks in otolaryngology (Review)". Biomedical Reports 20.6 (2024): 92.
Chicago
Taciuc, I., Dumitru, M., Vrinceanu, D., Gherghe, M., Manole, F., Marinescu, A., Serboiu, C., Neagos, A., Costache, A."Applications and challenges of neural networks in otolaryngology (Review)". Biomedical Reports 20, no. 6 (2024): 92. https://doi.org/10.3892/br.2024.1781
Copy and paste a formatted citation
x
Spandidos Publications style
Taciuc I, Dumitru M, Vrinceanu D, Gherghe M, Manole F, Marinescu A, Serboiu C, Neagos A and Costache A: Applications and challenges of neural networks in otolaryngology (Review). Biomed Rep 20: 92, 2024.
APA
Taciuc, I., Dumitru, M., Vrinceanu, D., Gherghe, M., Manole, F., Marinescu, A. ... Costache, A. (2024). Applications and challenges of neural networks in otolaryngology (Review). Biomedical Reports, 20, 92. https://doi.org/10.3892/br.2024.1781
MLA
Taciuc, I., Dumitru, M., Vrinceanu, D., Gherghe, M., Manole, F., Marinescu, A., Serboiu, C., Neagos, A., Costache, A."Applications and challenges of neural networks in otolaryngology (Review)". Biomedical Reports 20.6 (2024): 92.
Chicago
Taciuc, I., Dumitru, M., Vrinceanu, D., Gherghe, M., Manole, F., Marinescu, A., Serboiu, C., Neagos, A., Costache, A."Applications and challenges of neural networks in otolaryngology (Review)". Biomedical Reports 20, no. 6 (2024): 92. https://doi.org/10.3892/br.2024.1781
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