Early Diagnosis of Autism & ADHD with AI Can Change Lives

Diagnosis of cognitive health development disorders among children is a novel and challenging application domain of artificial intelligence.

We present the challenges, solutions, insights, and validation results of our user-facing solution that screens for autism and ADHD by combining multiple predictors based on multiple media inputs, while allowing for inconclusive determination on hard-to-screen subjects.We will talk about incorporating signal from parental questionnaires, expert analysis of short video uploads, as well as short doctor questionnaires. We will get into leveraging automated complementary signals like audio-video streams from interactive storytelling and gaming sessions on tablets and mobile phones. Finally we will explore the potential of deep learning to help with this problem setting.

Halim is a high tech innovator who spearheaded world-class data science projects at game changing techs like eBay and Teradata. Formally educated in Machine Learning, his professional expertise span Information Retrieval, Natural Language Processing, and Big Data. Halim has a proven track record of applying state of the art data science techniques across industry verticals such as eCommerce, web & mobile services, airline, BioPharma, and the medical technology industry. He currently leads the Data Science team at Cognoa, a data driven behavioral healthcare startup in Palo Alto.