TY  - JOUR
PY  - 2021//
TI  - Validation of Visual and Auditory Digital Markers of Suicidality in Acutely Suicidal Psychiatric Inpatients: Proof-of-Concept Study
JO  - Journal of medical internet research
A1  - Galatzer-Levy, Isaac
A1  - Abbas, Anzar
A1  - Ries, Anja
A1  - Homan, Stephanie
A1  - Sels, Laura
A1  - Koesmahargyo, Vidya
A1  - Yadav, Vijay
A1  - Colla, Michael
A1  - Scheerer, Hanne
A1  - Vetter, Stefan
A1  - Seifritz, Erich
A1  - Scholz, Urte
A1  - Kleim, Birgit
SP  - e25199
EP  - e25199
VL  - 23
IS  - 6
N2  - BACKGROUND: Multiple symptoms of suicide risk have been assessed based on visual and auditory information, including flattened affect, reduced movement, and slowed speech. <br><br>OBJECTIVE quantification of such symptomatology from novel data sources can increase the sensitivity, scalability, and timeliness of suicide risk assessment.  OBJECTIVE: We aimed to examine measurements extracted from video interviews using open-source deep learning algorithms to quantify facial, vocal, and movement behaviors in relation to suicide risk severity in recently admitted patients following a suicide attempt.  METHODS: We utilized video to quantify facial, vocal, and movement markers associated with mood, emotion, and motor functioning from a structured clinical conversation in 20 patients admitted to a psychiatric hospital following a suicide risk attempt. Measures were calculated using open-source deep learning algorithms for processing facial expressivity, head movement, and vocal characteristics. Derived digital measures of flattened affect, reduced movement, and slowed speech were compared to suicide risk with the Beck Scale for Suicide Ideation controlling for age and sex, using multiple linear regression.  RESULTS: Suicide severity was associated with multiple visual and auditory markers, including speech prevalence (β=-0.68, P=.02, r2=0.40), overall expressivity (β=-0.46, P=.10, r2=0.27), and head movement measured as head pitch variability (β=-1.24, P=.006, r2=0.48) and head yaw variability (β=-0.54, P=.06, r2=0.32).  CONCLUSIONS: Digital measurements of facial affect, movement, and speech prevalence demonstrated strong effect sizes and linear associations with the severity of suicidal ideation.<p /> <p>Language: en</p>
LA  - en
SN  - 1438-8871
UR  - http://dx.doi.org/10.2196/25199
ID  - ref1
ER  -