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Diseases of the nervous system that impact mobility, cognition, and communication are known as neurological diseases. These conditions have the potential to be dangerous. Neurological disorders can take many various forms, each with unique causes, symptoms, and outcomes (Lima and others in Neurol Disord Biol 11(3):469, 2022 [9]). Due to multifaceted frictions and hurdles involved in assessing people’s cognitive ability, medical professionals frequently misdiagnose moderate cognitive impairment (MCI) (Sabbagh et al. in J Prev Alzheimer’s Dis 7:1–6, 2020, [16]). Recent years have seen tremendous advancement in our understanding of the complex functioning of the brain because of neuroimaging technologies such as magnetic resonance imaging (MRI), magnetoencephalography (MEG), and positron emission tomography (PET) (Lima and others in Neurol Disord Biol 11(3):469, 2022 [9]). One such persistent, irreversible neurological condition that currently has no effective treatment is Alzheimer’s disease (AD). Existing medications, however, may halt its advancement. Early identification of these conditions is therefore essential to stopping and managing their progression (Helaly et al. in Cogn. Comput. 14, 2021 [6]). The efficacy of the available ML and DL techniques for ND detection is compared and evaluated severely in this study. It offers a thorough analysis of the most recent cutting-edge AI-based methods for the early diagnosis of neurological conditions such as multiple sclerosis, Parkinson's disease, Alzheimer's disease, and others.

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AI-Based Neurological Disease Detection for Early Diagnosis

  • 会议论文

  • 发表日期：

    2026年

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  • Chaitanya P. Vaidya,
  • Nilima Kulkarni,
  • Shivraj Patil,
  • Manasi Jain

摘要

Diseases of the nervous system that impact mobility, cognition, and communication are known as neurological diseases. These conditions have the potential to be dangerous. Neurological disorders can take many various forms, each with unique causes, symptoms, and outcomes (Lima and others in Neurol Disord Biol 11(3):469, 2022 [9]). Due to multifaceted frictions and hurdles involved in assessing people’s cognitive ability, medical professionals frequently misdiagnose moderate cognitive impairment (MCI) (Sabbagh et al. in J Prev Alzheimer’s Dis 7:1–6, 2020, [16]). Recent years have seen tremendous advancement in our understanding of the complex functioning of the brain because of neuroimaging technologies such as magnetic resonance imaging (MRI), magnetoencephalography (MEG), and positron emission tomography (PET) (Lima and others in Neurol Disord Biol 11(3):469, 2022 [9]). One such persistent, irreversible neurological condition that currently has no effective treatment is Alzheimer’s disease (AD). Existing medications, however, may halt its advancement. Early identification of these conditions is therefore essential to stopping and managing their progression (Helaly et al. in Cogn. Comput. 14, 2021 [6]). The efficacy of the available ML and DL techniques for ND detection is compared and evaluated severely in this study. It offers a thorough analysis of the most recent cutting-edge AI-based methods for the early diagnosis of neurological conditions such as multiple sclerosis, Parkinson's disease, Alzheimer's disease, and others.