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AI Model Achieves 96.9% Accuracy in ADHD Diagnosis

4/21/2025

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Summary

Story summary

A groundbreaking AI model from Yonsei University is revolutionizing ADHD diagnosis by analyzing retinal fundus photographs with an impressive 96.9% accuracy. By examining 1,108 images from 646 children, this innovative, noninvasive approach identifies crucial retinal features associated with ADHD, promising quicker diagnoses and effective treatment monitoring in under five minutes.

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Story summary

A groundbreaking AI model from Yonsei University is revolutionizing ADHD diagnosis by analyzing retinal fundus photographs with an impressive 96.9% accuracy. By examining 1,108 images from 646 children, this innovative, noninvasive approach identifies crucial retinal features associated with ADHD, promising quicker diagnoses and effective treatment monitoring in under five minutes.