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- W2903524369 abstract "Computer-aided therapeutics have changed the method of data interpretation for patients with neurodegenerative disorders. Artificial intelligence (AI)-based clinical practices are not only solving the knots of complex disorders, but also aiding for optimized interventions. Because of the effective involvement of AI, neurodegenerative functions are monitored around the clock to provide fast and effective diagnosis. Dynamic data repositories significantly assist the AI algorithms to get trained and tested from electroencephalography and electromyography reports. These repositories consist of patients specific problems with real-time clinical data. Moreover, the participation of wearable technology with AI has also resulted in ineffectual point of care diagnoses of patients with Parkinson's disease. Thus, this chapter discusses the latest available technologies that are coupled with AI for fast, cheap, and effective diagnosis of Parkinson’s, Alzheimer’s, epilepsy, stroke, ALS, and SCI diseases, along with methods for AI-based clinical decision-making processes." @default.
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- W2903524369 date "2019-01-01" @default.
- W2903524369 modified "2023-10-14" @default.
- W2903524369 title "Artificial Intelligence Integration for Neurodegenerative Disorders" @default.
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- W2903524369 doi "https://doi.org/10.1016/b978-0-12-809556-0.00005-8" @default.
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