Medscape May 22, 2024
Incorporating eye-tracking biomarkers into pediatric autism assessments may make identifying the condition easier, according to new findings published in JAMA Network Open.
Researchers created an artificial intelligence-based tool to help primary care clinicians and pediatricians spot potential cases of the neurological condition, according to Brandon Keehn, PhD, associate professor in the Department of Speech, Language, and Hearing Sciences at Purdue University in West Lafayette, Indiana, and an author of the study.
Most primary care clinicians do not receive specialized training in identifying autism, and around a third diagnose the condition with uncertainty, according to Keehn. The tool helps clinicians by incorporating their diagnosis and self-reported level of certainty with eye-tracking biomarkers. A clinical psychologist also assessed children, either verifying or...
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