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Computer platform for Autism diagnosis and ABA therapy recommendation

Artificial Intelligence platform to develop diagnostic and personalized Applied Behaviour Analysis (ABA) based intervention platform for Autism Spectrum Disorder (ASD)

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
CTRI
Registry ID
CTRI/2022/01/039254
Enrollment
1500
Registered
2022-01-07
Start date
Unknown
Completion date
Unknown
Last updated
2022-02-21

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

Conditions

Health Condition 1: F840- Autistic disorder Health Condition 2: F70- Mild intellectual disabilities Health Condition 3: F802- Mixed receptive-expressive language disorder

Interventions

None listed

Sponsors

Department of Biotechnology
Lead Sponsor

Eligibility

Inclusion criteria

Inclusion criteria: Neurotypical A child up to 24 months with a M-CHAT-R score below three and Developmental quotient >=85 on DP3. A child beyond 24 months with CARS score =85 on DP3 A child with ISAA scores For online enrolments, a child with SRS T-score =85 on DP3 would be included as neurotypical ASD A child up to 24 months with M-CHAT-R score >=3 and satisfying DSM5 criteria for ASD. A child above 24 months with CARS 2 score >= 30. A child with ISAA scores >= 70 For online enrolments, children with an established diagnosis of Autism Spectrum Disorder given by a developmental pediatrician or child psychiatrist, based on DSM-5 assessment/ CARS score >30/ ADOS/ ADI-R would be considered ASD.

Exclusion criteria

Exclusion criteria: Children with vision and hearing problems Children with acute illness from the last 2 weeks or any other chronic illness Children with Severe / profound GDD

Design outcomes

Primary

MeasureTime frame
This is a diagnostic and treatment recommendation study, not an intervention study.Timepoint: 2.6 years

Secondary

MeasureTime frame
Development of a digital platform that will automate the remote diagnosis process for children with ASD. Clinical Validation of the tool by testing on the blindsight data. Development of Artificial Intelligence-based digital platform that non-experts can use for prediction of ABA program Timepoint: 2.6 years

Countries

India

Contacts

Public ContactManu Kohli

Indian Institute of Science

prathoshap@ee.iitd.ac.in9986602285

Outcome results

None listed

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