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Deep Learning and Geriatric Mental Health

Howard Aizenstein, Raeanne C. Moore, Ipsit V. Vahia, Adam Ciarleglio

2023American Journal of Geriatric Psychiatry17 citationsDOIOpen Access PDF

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.

Topics & Concepts

Deep learningTerminologyRelevance (law)Artificial intelligenceComputer scienceData sciencePsychologyCognitive sciencePolitical scienceLawPhilosophyLinguisticsMachine Learning in HealthcareCOVID-19 diagnosis using AIGenerative Adversarial Networks and Image Synthesis
Deep Learning and Geriatric Mental Health | Litcius