Abstract
Parkinson’s disease and dementia are two of the most debilitating neurodegenerative disorders to ever plague humankind. They cause significant biopsychosocial and economic burden on society and affect the community and carers in particular, necessitating holistic multidisciplinary care.
The rise of artificial intelligence for medical applications in recent years, including disease prediction, diagnostics, disease progression monitoring, risk stratification, and prognostication, has also seen the development of applications for Parkinson’s disease and dementia. This chapter explores the use of artificial intelligence and machine learning in terms of the diagnosis, management, and prognosis predictions for these two neurodegenerative conditions.
We discuss the medical and the surgical applications of AI for Parkinson’s disease and also highlight the artificial intelligent models that have been used for various forms of dementia. The chapter begins by introducing the reader to the impacts of AI on dementia diagnosis, treatment, and prognosis, extending the discussion to dementia with Lewy body disease before tackling specific aspects of AI related to Parkinson’s disease.
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Davids, J., Ashrafian, H. (2022). AIM in Neurodegenerative Diseases: Parkinson and Alzheimer. In: Lidströmer, N., Ashrafian, H. (eds) Artificial Intelligence in Medicine. Springer, Cham. https://doi.org/10.1007/978-3-030-64573-1_190
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DOI: https://doi.org/10.1007/978-3-030-64573-1_190
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