Interventions of AI, Diagnostics, Biomedical Advancements in Monitoring Neurodegeneration in Alzheimer’s Disease

Authors

  • Claudia Wong Cheltenham Ladies' College

DOI:

https://doi.org/10.47611/jsrhs.v13i3.6959

Keywords:

AI, Machine Learning, CNN, Alzheimer’s, Biomarkers, Teledevices, Cognition, Dementia, Wearable Devices

Abstract

Technological breakthroughs and scientific advancements have paved the way for neuroscientists and cognitive psychologists to dabble with novel AI and Machine Learning tools towards better detection, diagnosis and comprehensive care for patients diagnosed with neurodegenerative diseases. Researchers have currently been applying new forms of research findings through analyzing AD-related neuropathology utilizing CNN-based systems, through the help of various apps and tech interventions. This research publication will intrinsically entail an analysis of the evaluation of various tech products and bioelectronics that have made it easier for neuroscientists to detect for signs of neurodegeneration, whilst also discussing relevant neurorehabilitation strategies and solutions for the market.

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References or Bibliography

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Published

08-31-2024

How to Cite

Wong, C. (2024). Interventions of AI, Diagnostics, Biomedical Advancements in Monitoring Neurodegeneration in Alzheimer’s Disease. Journal of Student Research, 13(3). https://doi.org/10.47611/jsrhs.v13i3.6959

Issue

Section

HS Review Articles