Prediction of depression risk based on AI art prompts

Abstract excerpt

<title>Abstract</title> <p>Despite the growing prevalence of depression, current diagnostic methods sometimes fail to identify individual cases, particularly in the presence of comorbid conditions. This study explores the potential of AI-assisted generative art as a complementary tool for assessing depression risk. A sample of 230 participants (Mage = 21.54 years) used Midjourney, a text-to-image software, to cre...

Topics

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• Case-Control Studies
• Depression
• Depressive Disorder
• Genetic Markers
• Machine Learning
• Prediction Algorithms
• Predictive Learning Models
• Risk Assessment

Identifiers and source

Literature Corpus work

9d66dff2-b875-570b-a146-5dab8bb5e459

DOI

10.21203/rs.3.rs-5578681/v1