Applications of Amyloid Plaques and AI For Detection of Alzheimer's Disease
DOI:
https://doi.org/10.47611/jsrhs.v13i3.7013Keywords:
Amyloid Plaques, Alzheimer's Disease, AI, Deep LearningAbstract
Artificial Intelligence (AI) has revolutionized many fields of work, particularly the field of medicine. Notably, AI-powered algorithms can identify patterns in retinal scans that are too delicate for the human eye to render (Fabrizio, Termine, Caltagirone, et al., 2021). This new technology has led to groundbreaking methods in diagnosing diseases, especially Alzheimer's disease (AD). AD is a progressive disease that starts with moderate memory loss that eventually progresses into a general inability for a patient to converse and respond to their surroundings.AD remains the most common form of dementia globally and is recognized by the World Health Organization as a “global public health priority” (Lane et al., 2017).
Downloads
References or Bibliography
Bradford, A., Kunik, M. E., Schulz, P., Williams, S. P., & Singh, H. (2009). Missed and Delayed Diagnosis of Dementia in Primary Care. Alzheimer Disease & Associated Disorders, 23(4), 306–314. https://doi.org/10.1097/wad.0b013e3181a6bebc.
Cheung, C. Y., Mok, V., Foster, P. J., Trucco, E., Chen, C., & Wong, T. Y. (2021). Retinal imaging in Alzheimer’s disease. Journal of Neurology, Neurosurgery &
Psychiatry, 92(9), 983–994. https://doi.org/10.1136/jnnp-2020-325347.
Fabrizio, C., Termine, A., Caltagirone, C., & Sancesario, G. (2021). Artificial Intelligence for Alzheimer’s Disease: Promise or Challenge? Diagnostics, 11(8), 1473.
https://doi.org/10.3390/diagnostics11081473.
Lane, C. A., Hardy, J., & Schott, J. M. (2017). Alzheimer’s disease. European Journal of Neurology, 25(1), 59–70. https://doi.org/10.1111/ene.13439.
Pareena Chaitanuwong, Panisa Singhanetr, Methaphon Chainakul, Niracha Arjkongharn, Paisan Ruamviboonsuk, & Grzybowski, A. (2023). Potential Ocular Biomarkers for Early Detection of Alzheimer’s Disease and Their Roles in Artificial Intelligence Studies. Neurology and Therapy, 12(5), 1517–1532. https://doi.org/10.1007/s40120-023- 00526-0.
Sabbagh, M. N., Lue, L.-F., Fayard, D., & Shi, J. (2017). Increasing Precision of Clinical Diagnosis of Alzheimer’s Disease Using a Combined Algorithm Incorporating Clinical and Novel Biomarker Data. Neurology and Therapy, 6(Suppl 1), 83–95.
https://doi.org/10.1007/s40120-017-0069-5.
Tian, J., Smith, G., Guo, H., Liu, B., Pan, Z., Wang, Z., Xiong, S., & Fang, R. (2021). Modular machine learning for Alzheimer’s disease classification from retinal
vasculature. Scientific Reports, 11(1). https://doi.org/10.1038/s41598-020-80312-2. Yuan, A., & Lee, C. S. (2022). Retinal Biomarkers for Alzheimer Disease: The Facts and the Future. Asia-Pacific Journal of Ophthalmology, 11(2), 140–148.
Published
How to Cite
Issue
Section
Copyright (c) 2024 Alwin Prasanna

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Copyright holder(s) granted JSR a perpetual, non-exclusive license to distriute & display this article.