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Review
. 2024 Mar;32(3):270-279.
doi: 10.1016/j.jagp.2023.11.008. Epub 2023 Dec 5.

Deep Learning and Geriatric Mental Health

Howard Aizenstein  1 , Raeanne C Moore  2 , Ipsit Vahia  3 , Adam Ciarleglio  4
Affiliations
Review

Deep Learning and Geriatric Mental Health

Howard Aizenstein et al. Am J Geriatr Psychiatry. 2024 Mar.

Abstract

The goal of this overview is to help clinicians develop basic proficiency with the terminology of deep learning and understand its fundamentals and early applications. We describe what machine learning and deep learning represent and explain the underlying data science principles. We also review current promising applications and identify ethical issues that bear consideration. Deep Learning is a new type of machine learning that is remarkably good at finding patterns in data, and in some cases generating realistic new data. We provide insights into how deep learning works and discuss its relevance to geriatric psychiatry.

Keywords: Deep learning; geriatric mental health; machine learning; neuroimaging.

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Figures

Figure 1:
Figure 1:
Traditional Machine Learning Versus Deep Learning
See this image and copyright information in PMC

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