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ABSTRACT: Introduction
There are many barriers to mental health services, including cost and stigma. Even when individuals receive professional care, assessments are intermittent and may be limited in part by the cyclical nature of psychiatric symptoms. The human voice might have the potential to serve as a valuable biomarker in the identification, early diagnosis or monitoring of psychiatric conditions. Therefore, this protocol presents a proposed scoping review with the aim of synthesising existing knowledge on the application of artificial intelligence (AI) or machine learning (ML) in the management of individuals at risk of/suffering from schizophrenia through audio samples as a biomarker.Methods and analysis
Guided by the Preferred Reporting Items for Systematic Reviews and Meta
SUBMITTER: Amir-Behghadami M
PROVIDER: S-EPMC12519660 | biostudies-literature | 2025 Oct
REPOSITORIES: biostudies-literature