Researchers developed and tested deep ensemble models (DEMs) to automatically diagnose autism spectrum disorder (ASD) and determine symptom severity through high-resolution retinal images in a study published in JAMA Network Open. They used 1,890 photos from 958 participants and found their models could diagnose ASD with a high level of accuracy. Additionally, the models could estimate ASD severity with significant accuracy, even in children as young as four years old. This research demonstrates the potential for computer-aided diagnosis of ASD using retinal photographs, which could address the lack of expert resources for diagnosis and improve early and broad screening for ASD.
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AI models using retinal images achieve perfect accuracy in diagnosing autism
