CTRI/2022/01/039254尚未招募未知
Artificial Intelligence platform to develop diagnostic and personalized Applied Behaviour Analysis (ABA) based intervention platform for Autism Spectrum Disorder (ASD)
Department of Biotechnology0 个研究点目标入组 0 人开始时间: 待定最近更新:
试验速览
- 阶段
- 未知
- 状态
- 尚未招募
- 发起方
研究概览
简要总结
暂无简介。
研究设计
- 研究类型
- Observational
入排标准
入选标准
- •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 < 30 and Developmental quotient >=85 on DP3
- •A child with ISAA scores < 70
- •For online enrolments, a child with SRS T-score <59 and Developmental quotient >=85 on DP3 would be included as neurotypical
- •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.
排除标准
- •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
研究者
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