Implications of Artificial Intelligence Algorithms in the Diagnosis and Treatment of Motor Neuron Diseases—A Review

Motor neuron diseases (MNDs) are a group of chronic neurological disorders characterized by the progressive failure of the motor system. Currently, these disorders do not have a definitive treatment; therefore, it is of huge importance to propose new and more advanced diagnoses and treatment options...

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Published inLife (Basel, Switzerland) Vol. 13; no. 4; p. 1031
Main Authors Lopez-Bernal, Diego, Balderas, David, Ponce, Pedro, Rojas, Mario, Molina, Arturo
Format Journal Article
LanguageEnglish
Published Switzerland MDPI AG 01.04.2023
MDPI
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ISSN2075-1729
2075-1729
DOI10.3390/life13041031

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Summary:Motor neuron diseases (MNDs) are a group of chronic neurological disorders characterized by the progressive failure of the motor system. Currently, these disorders do not have a definitive treatment; therefore, it is of huge importance to propose new and more advanced diagnoses and treatment options for MNDs. Nowadays, artificial intelligence is being applied to solve several real-life problems in different areas, including healthcare. It has shown great potential to accelerate the understanding and management of many health disorders, including neurological ones. Therefore, the main objective of this work is to offer a review of the most important research that has been done on the application of artificial intelligence models for analyzing motor disorders. This review includes a general description of the most commonly used AI algorithms and their usage in MND diagnosis, prognosis, and treatment. Finally, we highlight the main issues that must be overcome to take full advantage of what AI can offer us when dealing with MNDs.
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ISSN:2075-1729
2075-1729
DOI:10.3390/life13041031