Artificial intelligence in the diagnosis of neurodegenerative diseases: a systematic literature review

Authors

DOI:

https://doi.org/10.33448/rsd-v10i11.20004

Keywords:

Artificial intelligence; Neurodegenerative diseases; Magnetic resonance; Diagnosis.

Abstract

Introduction: Artificial Intelligence (AI) is a branch of computer science that aims to develop systems that simulate the human capacity of perceiving a problem, identifying its components in order to solve problems and propose/make decisions. Objective: to expand knowledge and categorize applications of the use of AI for the diagnosis, treatment and prognosis of neurodegenerative diseases, since, currently, its use becomes widely applicable and essential to circumvent the stages of the disease. Methodology: This is a descriptive research of the integrative literature review type performed through online access in the National Library of Medicine (PubMed MEDLINE), Scientific Electronic Library Online (Scielo), Google Scholar, Virtual Health Library (VHL) databases), Web of Science and EBSCO Information Services, June and July 2021. Results and discussion: In recent years, data from neural networks, deep learning, and other mathematical methods are developing at unprecedented speed. They have been widely used in the field of image analysis, and have shown great potential in medical image analysis in the diagnosis of Alzheimer's Disease, Parkinson's Disease, Multiple Sclerosis, and the application of these methods can further improve the data analysis capability. complex multimodal imaging and improve the efficiency of these diagnoses. Conclusion: with artificial intelligence, neurodegenerative disorders can be investigated at a deeper level, providing a comprehensive overview of the disease and paving the way for the application of precision medicine to these pathologies.

References

Ahmed, O. B., Mizotin, M., Pineau, J. B., Allard, G. C. & Amar, C. B. (2015). Alzheimer’s disease diagnosis on structural MR images using circular harmonic functions descriptors on hippocampus and posterior cingulate cortex. Computerized Medical Imaging and Graphics, 44 (1), 13-25.

Ahmed, O. B., Pineau, J. B., Allard, M., Catheline, G. & Amar, C. B. (2016). Recognition of Alzheimer's Disease and Mild Cognitive Impairment with multimodal image-derived biomarkers and Multiple Kernel Learning. Computerized Medical Imaging and Graphics, 16 (1), 1-35.

Bakkar, N., Kovalik, T., Lorenzini, I., Spangler, S., Lacoste, A., Sponaugle, K., Ferrante, P., Argentinis, E., Sattler, R. & Bowser, R. (2018) Artificial intelligence in neurodegenerative disease research: use of IBM Watson to identify additional RNA-binding proteins altered in amyotrophic lateral sclerosis. Acta neuropathologica, 135(2), 227-247.

Belic, M., Bobic, V., Badza, M., Solaja, N. & Juvicic, M. D. (2019). Artificial intelligence for assisting diagnostics and assessment of Parkinson’s disease—A review. Clinical Neurology and neurosurgery. 184 (105442), 1-7.

Braga, A., Lins, A., Soares, L., Fleury, L., Carvalho, J. & Prado, R. (2019) Machine learning: O Uso da Inteligência Artificial na Medicina. Braz. J. of Develop, 5(9), 16407-16413.

Ding, Y., Sohn, J. H., Kawcynski, M. G., Trivedi, H., Harnish, R., Jenkins, N., Lituiev, D., Copeland, T. P. & ABoian, M. S. (2019). A Deep Learning Model to Predict a Diagnosis of Alzheimer Disease by Using 18F-FDG PET of the Brain. Radioloy, 290 (1), 456-464.

Folego, G., Weiler, M., Casseb, R. F., Pires, R. & Rocha, A. (2020). Alzheimer’s Disease Detection Through Whole-Brain 3D-CNN MRI Frontiers in Bioengineering and Biotechnology, 8 (534592), 1-14.

Fomenko, A. & Lozano, A. (2019) Artificial intelligence in neurosurgery. University of Toronto Medical Journal, 96(1), 19-21.

Kim, D., Wit, H. & Thurston, M. (2018) Artificial intelligence in the diagnosis of Parkinson’s disease from ioflupane-123 single-photon emission computed tomography dopamine transporter scans using transfer learning. Nuclear medicine communications, 39(10), 887-893.

Liu, X., Chen, K., Wu, T., Weidman, D., Lure, F. & Li, J. (2018). Use of multi-modality imaging and artificial intelligence for diagnosis and prognosis of early stages of alzheimer's disease. Translational Research, 1-33.

Lobo, L. (2017) Inteligência Artificial e Medicina. Rev Bras de Educação Médica, 41(1), 185-193.

Matsuoka, T., Imai, A., Fujimoto, H., Kato, Y., Shibata, K., Nakamura, L., Yokota, H., Yamada, K. & Narumoto, J. (2017). Reduced Pineal volume in Alzheimer disease: a retrospective cross-sectional MR imaging study. Radiology, 286 (1), 238-248.

Russel, S. & Norvig, P. (2013) Inteligência Artificial. (3a ed.), Elsevier.

Strafella, C., Caputo, V., Galota, M., Zampatti, S., Marella, G., Mauriello, S., Cascella, R. & Giardina, E. (2018) Application of precision medicine in neurodegenerative diseases. Frontiers in neurology, 9, 701.

Tang, Y., Meng, L., Wan, C. M., Liu, Z. H., Liao, W. H., Yan, X. X., Wang, X. Y., Tang, B. S. & Guo, J. F. (2017) Identificando a presença da doença de Parkinson usando flutuações de baixa frequência em Sinais BOLD. Neurosci. Lett. 645(1), 1-6.

Tecuci, G. (2012) Artificial intelligence. Wiley Periodicals, 4, 168 -180.

Van Assen, M., Lee, S. & De Cecco, C. (2020) Artificial intelligence from A to Z: from neural network to legal framework. European Journal of Radiology, v. 129, 109083.

Vashistha, R., Yadav, D., Chhabra, D. & Shukla, P. (2019) Artificial Intelligence Integration for Neurodegenerative Disorders. Leveraging Biomedical and Healthcare Data, p. 77–89.

Westman, E., Muehlboeck, J. S. & Simmons, A. (2012). Combining MRI and CSF measures for classification of Alzheimer's disease and prediction of mild cognitive impairment conversion. Neuroimage, 62 (1), 229-238.

Xu, J. & Zhang, M. (2019). Use of Magnetic Resonance Imaging and Artificial Intelligence in Studies of Diagnosis of Parkinson’s Disease. ACS Chem. Neurosci. 10 (1), 1658-2667.

Published

07/09/2021

How to Cite

BRITO, E. N. D.; FIGUEIREDO, B. Q. de .; SOUTO, D. N.; NOGUEIRA, J. F.; MELO, A. L. de C.; SILVA, I. T. da .; OLIVEIRA, I. P.; ALMEIDA, M. G. de . Artificial intelligence in the diagnosis of neurodegenerative diseases: a systematic literature review. Research, Society and Development, [S. l.], v. 10, n. 11, p. e482101120004, 2021. DOI: 10.33448/rsd-v10i11.20004. Disponível em: https://rsdjournal.org/index.php/rsd/article/view/20004. Acesso em: 20 apr. 2024.

Issue

Section

Health Sciences