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Training AI to Screen Mental Health Issues through Voice, Video, and Eye Movements.

Developing Machine Learning Multi-Model Screening Tools for Mental Health Using Voice, Video, and Eye-Tracking Data. - NIL

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
CTRI
Registry ID
CTRI/2025/09/094592
Enrollment
1000
Registered
2025-09-11
Start date
Unknown
Completion date
Unknown
Last updated
2025-09-15

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

None listed

Interventions

Intervention1: Nil: Nil Intervention2: Nil: Nil Intervention3: Nil: Nil Intervention4: Nil: Nil

Sponsors

Tllid India Private Limited
Lead Sponsor

Eligibility

Inclusion criteria

Inclusion criteria: 1. Able to read and understand English and also understand a supported Indian language 2. Willing to participate in audio, video, and eye-tracking based tasks 3. Capable of providing informed consent (or assent with parental/guardian consent if below 18) 4. Comfortable using or being guided through digital tools (e.g., tablets, computers)

Exclusion criteria

Exclusion criteria: 1. Currently undergoing psychiatric emergency treatment 2. Have severe cognitive, speech, or visual impairments that interfere with their ability to complete the tasks 3. Have any condition that, in the judgment of the investigator, would make participation unsafe or unsuitable

Design outcomes

Primary

MeasureTime frame
To clinically train a multimodal AI model that assesses mental well-being through non-invasive analysis of voice biomarkers, facial microexpressions, and eye gaze movement.Timepoint: 1 year—

Secondary

MeasureTime frame
NILTimepoint: NIL—

Countries

India

Contacts

Public ContactDr Anuradha Khadilkar

Hirabai Cowasji Jehangir Medical Research Institute

anuradhavkhadilkar@gmail.com9850244305

Outcome results

None listed

Source: CTRI (via WHO ICTRP) · Data processed: Feb 4, 2026