Machine Learning Boosts Parent-Report Autism Screening at 18-Month Checkups
Bioengineer.org
Machine learning improves parent-reported autism screening at 18-month checkups by creating a more accurate and efficient questionnaire. The study found that existing tools like the M-CHAT-R/F have significant limitations in sensitivity and specificity, but a new algorithm using curated items from multiple sources performs better. This approach could help identify autism and developmental delays earlier, improving intervention outcomes.
All articles from 1 October 2026. Summaries are AI-generated and may contain errors; the linked article is the authority.