Methodological and Quality Flaws in the Use of Artificial Intelligence in Mental Health Research: Systematic Review.

ABSTRACT:

Background

Artificial intelligence (AI) is giving rise to a revolution in medicine and health care. Mental health conditions are highly prevalent in many countries, and the COVID-19 pandemic has increased the risk of further erosion of the mental well-being in the population. Therefore, it is relevant to assess the current status of the application of AI toward mental health research to inform about trends, gaps, opportunities, and challenges.

Objective

This study aims to perform a systematic overview of AI applications in mental health in terms of methodologies, data, outcomes, performance, and quality.

Methods

A systematic search in PubMed, Scopus, IEEE Xplore, and Cochrane databases was conducted to collect records of use cases of AI for mental health disorder stud

SUBMITTER: Tornero-Costa R 

PROVIDER: S-EPMC9936371 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature