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Scienza Health
Live NowMental/Behavioral Health

Depression (Male)

Depression (Male) screening by GIA®, powered by digitalhumanOS™, uses Voice AI, Computer Vision, and Speech Biomarkers to detect depression (male) through a single patient conversation. Screening performance: 71.0%. Screening takes under 5 minutes with results in 60 seconds.

Let's gently explore your emotional state and see if depression might be a factor.

Depression in men is often expressed as anger or irritability, making it difficult to recognize. Early detection allows for timely intervention and support.

Screening Performance71.0%

Key Facts

Screening Time
Under 5 minutes
Results
60 seconds
Modalities
Voice + Vision + Speech
Registration
FDA-Registered
Status
Live
FDA-RegisteredEditorially reviewed·

This content is intended for informational purposes and does not constitute medical advice. Editorially reviewed by David Kaiser, CEO of Scienza Health, for accuracy in post-acute care operations.

FREQUENTLY ASKED

About Depression (Male) screening.

Is depression different for men?

Yes, men may experience depression differently, sometimes masking it with anger or substance use.

What kind of support is available?

We offer a range of resources, including therapy options and support groups tailored for men.

CLINICAL RESEARCH

The science behind Depression (Male) screening.

PEER-REVIEWED RESEARCH

A January 2026 clinical white paper demonstrates that machine learning models trained on spontaneous speech can serve as an effective first step in identifying individuals at risk for depression and anxiety — enabling earlier intervention at scale.

Behavioral Health Assessment Using Vocal Biomarkers (2026-01)
PEER-REVIEWED RESEARCH

Peer-reviewed research validates speech-based depression severity detection — enabling nuanced assessment beyond binary present/absent screening.

Depression Severity Detection Using Read Speech With A Divide-And-Conquer Approach (2022-03)

View all peer-reviewed research. See how GIA® screens for Depression (Male) in skilled nursing facilities.

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