Detection of Suicide Risk Using Vocal Characteristics: Systematic Review
BackgroundIn an age when telehealth services are increasingly being used for forward triage, there is a need for accurate suicide risk detection. Vocal characteristics analyzed using artificial intelligence are now proving capable of detecting suicide risk with accuracies sup...
Main Authors: | Ravi Iyer, Denny Meyer |
---|---|
Format: | Article |
Language: | English |
Published: |
JMIR Publications
2022-12-01
|
Series: | JMIR Biomedical Engineering |
Online Access: | https://biomedeng.jmir.org/2022/2/e42386 |
Similar Items
-
Using Vocal Characteristics To Classify Psychological Distress in Adult Helpline Callers: Retrospective Observational Study
by: Ravi Iyer, et al.
Published: (2022-12-01) -
Using Voice Biomarkers to Classify Suicide Risk in Adult Telehealth Callers: Retrospective Observational Study
by: Ravi Iyer, et al.
Published: (2022-08-01) -
Using Artificial Intelligence to Detect Risk of Family Violence: Protocol for a Systematic Review and Meta-Analysis
by: Kathleen de Boer, et al.
Published: (2024-12-01) -
Empathic Conversational Agent Platform Designs and Their Evaluation in the Context of Mental Health: Systematic Review
by: Ruvini Sanjeewa, et al.
Published: (2024-09-01) -
Risk factors for suicide: Systematic review
by: Alceu Ramos Conceicao Junior, et al.
Published: (2020-01-01)