Databricks
Case Studies
Revolutionizing Autism Diagnosis in Children through IoT and Machine Learning
Overview
Revolutionizing Autism Diagnosis in Children through IoT and Machine LearningDatabricks |
Analytics & Modeling - Machine Learning Platform as a Service (PaaS) - Application Development Platforms | |
Healthcare & Hospitals Life Sciences | |
Product Research & Development | |
Clinical Image Analysis Root Cause Analysis & Diagnosis | |
Data Science Services | |
Operational Impact
The use of Canvas Dx not only provides a highly accurate diagnosis but also offers a remote diagnosis, making it more accessible to a wider range of patients. It allows for diagnosis starting at age 18 months, significantly earlier than the U.S. average age diagnosis of 4.3 years. This early diagnosis is a critical step towards early intervention for children, which can result in positive lifelong outcomes. Furthermore, the use of Databricks Lakehouse Platform allows the Cognoa team to collaborate in real time with people around the world, conduct experiments more efficiently and at scale, and create production-ready models faster, which is crucial when the well-being of children is at stake. | |
Quantitative Benefit
Reduces the time to diagnose autism in children by up to 3 years | |
Enables diagnosis or ruling out of autism in children as young as 18 months and up to 72 months | |
Provides remote diagnosis, eliminating the need for in-clinic visits | |