The role of AI and machine learning in the diagnosis of Parkinson's disease and atypical parkinsonisms

Dennis, Anthaea-Grace Patricia; Strafella, Antonio P.

doi:10.1016/j.parkreldis.2024.106986

Parkinsonism & Related Disorders

2024

DOI: 10.1016/j.parkreldis.2024.106986

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The role of AI and machine learning in the diagnosis of Parkinson's disease and atypical parkinsonisms

Anthaea-Grace Patricia Dennis,

Antonio P. Strafella

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2024

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Cited by 2 publications

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Enhancing Efficiency with an AI-Augmented Clinician in Neurology

Kapadia,

Ruwali,

Malav

et al. 2024

Aging and disease

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Enhancing Efficiency with an AI-Augmented Clinician in Neurology

Kapadia,

Ruwali,

Malav

et al. 2024

Aging and disease

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The identification of cognitive impairment in Parkinson’s disease using biofluids, neuroimaging, and artificial intelligence

Dennis,

Strafella

2024

Front. Neurosci.

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IntroductionParkinson’s disease (PD) is a neurodegenerative movement disorder causing severe disability and cognitive impairment as the disease progresses. It is necessary to develop biomarkers for cognitive decline in PD for earlier detection and prediction of disease progression.MethodsWe reviewed literature which used artificial intelligence-based techniques, which can be more sensitive than other analyses, to determine potential biomarkers for cognitive impairment in PD.ResultsWe found that combining biomarker types, including those from neuroimaging and biofluids, resulted in higher accuracy. Focused analysis on each biomarker type revealed that using structural and functional magnetic resonance imaging (MRI) resulted in accuracy and area under the curve (AUC) values above 80%/0.80, and that beta-amyloid-42 and tau were able to classify PD subjects by cognitive function with accuracy and AUC values above 90%/0.90.DiscussionWe can conclude that applying both blood-based and imaging-based biomarkers may improve diagnostic accuracy and prediction of cognitive impairment in PD.

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The role of AI and machine learning in the diagnosis of Parkinson's disease and atypical parkinsonisms

Cited by 2 publications

References 40 publications

Enhancing Efficiency with an AI-Augmented Clinician in Neurology

Enhancing Efficiency with an AI-Augmented Clinician in Neurology

The identification of cognitive impairment in Parkinson’s disease using biofluids, neuroimaging, and artificial intelligence

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