New AI Method for Diagnosing Autism
Researchers have developed a new AI method for diagnosing autism with 89 to 95 percent accuracy by analyzing genetic markers via brain imaging, potentially sparing families years of uncertainty and enabling earlier treatments.
Key Points
- Method involves analyzing genetic markers via AI and brain imaging
- Autism traditionally diagnosed behaviorally but has a strong genetic basis
- Autism identification usually involves years of uncertainty and stress
- New method focuses on revealing biological pathways of autism
- Developed by Dr. Shinjini Kundu and Dr. Gustavo Rohde
- Published in Science Advances with data from the Simons Variation in Individuals Project
Pros
- Can identify genetic markers of autism with high accuracy
- May spare families years of uncertainty
- Could lead to earlier treatments for autism
Cons
- Method not yet in common use
- Process still requires further research and validation