Using technology to help identify children at risk for autism
Health Information Technology to Support Autism Spectrum Disorders (ASD) Risk Assessment for Early Diagnosis
This study is working on a new tool to help doctors spot kids who might be at risk for autism earlier by using information from their health records, making it easier for all doctors to help those children get the support they need sooner.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Arizona NIH-funded |
| Lab location | 1 site (Tucson, United States) |
| Project ID | NIH-10815718 on NIH RePORTER |
What this research studies
This research aims to develop health information technology that assists clinicians in identifying children at high risk for autism spectrum disorder (ASD) using electronic health records. By employing machine learning algorithms and natural language processing, the project will analyze both structured data and free text in health records to improve early diagnosis. The goal is to support non-expert clinicians in making informed decisions about potential ASD risks, ultimately leading to earlier interventions for affected children.
Who could benefit from this research
Good fit: Ideal candidates for this research are children aged 0-11 years who are at risk for autism spectrum disorder.
Not a fit: Patients who are already diagnosed with autism spectrum disorder or those outside the age range of 0-11 years may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to earlier and more accurate diagnoses of autism spectrum disorder, improving outcomes for children and families.
How similar studies have performed: Other research has shown promise in using technology and machine learning for early diagnosis of developmental disorders, indicating that this approach has potential for success.
Where this research is happening
Tucson, United States
- University of Arizona — Tucson, United States (Active)
Researchers
- Principal investigator: Leroy, Gondy — University of Arizona
- Study coordinator: Leroy, Gondy
About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page below.