Deep Learning-Based Diagnosis of Alzheimer’s Disease

Saleem, Tausifa Jan; Zahra, Syed Rameem; Wu, Fan; Alwakeel, Ahmed; Alwakeel, Mohammed; Jeribi, Fathe; Hijji, Mohammad

doi:10.3390/jpm12050815

Open AccessReview

Deep Learning-Based Diagnosis of Alzheimer’s Disease

by

Tausifa Jan Saleem

¹,

Syed Rameem Zahra

¹,

Fan Wu

²,

Ahmed Alwakeel

^3,4,*

,

Mohammed Alwakeel

⁴

,

Fathe Jeribi

⁵

and

Mohammad Hijji

⁴

¹

Department of Computer Science and Engineering, National Institute of Technology Srinagar, Srinagar 190006, J&K, India

²

Department of Computer Science, Tuskegee University, Tuskegee, AL 36088, USA

³

Sensor Network and Cellular Systems Research Center, University of Tabuk, Tabuk 71491, Saudi Arabia

⁴

Faculty of Computers & Information Technology, University of Tabuk, Tabuk 71491, Saudi Arabia

⁵

College of Computer Science and Information Technology, Jazan University, Jazan 45142, Saudi Arabia

^*

Author to whom correspondence should be addressed.

J. Pers. Med. 2022, 12(5), 815; https://doi.org/10.3390/jpm12050815

Submission received: 10 April 2022 / Revised: 15 May 2022 / Accepted: 16 May 2022 / Published: 18 May 2022

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Abstract

Alzheimer’s disease (AD), the most familiar type of dementia, is a severe concern in modern healthcare. Around 5.5 million people aged 65 and above have AD, and it is the sixth leading cause of mortality in the US. AD is an irreversible, degenerative brain disorder characterized by a loss of cognitive function and has no proven cure. Deep learning techniques have gained popularity in recent years, particularly in the domains of natural language processing and computer vision. Since 2014, these techniques have begun to achieve substantial consideration in AD diagnosis research, and the number of papers published in this arena is rising drastically. Deep learning techniques have been reported to be more accurate for AD diagnosis in comparison to conventional machine learning models. Motivated to explore the potential of deep learning in AD diagnosis, this study reviews the current state-of-the-art in AD diagnosis using deep learning. We summarize the most recent trends and findings using a thorough literature review. The study also explores the different biomarkers and datasets for AD diagnosis. Even though deep learning has shown promise in AD diagnosis, there are still several challenges that need to be addressed.

Keywords: Alzheimer’s disease; deep learning; biomarkers; positron emission tomography; Magnetic Resonance Imaging; mild cognitive impairment

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MDPI and ACS Style

Saleem, T.J.; Zahra, S.R.; Wu, F.; Alwakeel, A.; Alwakeel, M.; Jeribi, F.; Hijji, M. Deep Learning-Based Diagnosis of Alzheimer’s Disease. J. Pers. Med. 2022, 12, 815. https://doi.org/10.3390/jpm12050815

AMA Style

Saleem TJ, Zahra SR, Wu F, Alwakeel A, Alwakeel M, Jeribi F, Hijji M. Deep Learning-Based Diagnosis of Alzheimer’s Disease. Journal of Personalized Medicine. 2022; 12(5):815. https://doi.org/10.3390/jpm12050815

Chicago/Turabian Style

Saleem, Tausifa Jan, Syed Rameem Zahra, Fan Wu, Ahmed Alwakeel, Mohammed Alwakeel, Fathe Jeribi, and Mohammad Hijji. 2022. "Deep Learning-Based Diagnosis of Alzheimer’s Disease" Journal of Personalized Medicine 12, no. 5: 815. https://doi.org/10.3390/jpm12050815

APA Style

Saleem, T. J., Zahra, S. R., Wu, F., Alwakeel, A., Alwakeel, M., Jeribi, F., & Hijji, M. (2022). Deep Learning-Based Diagnosis of Alzheimer’s Disease. Journal of Personalized Medicine, 12(5), 815. https://doi.org/10.3390/jpm12050815

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

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Deep Learning-Based Diagnosis of Alzheimer’s Disease

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