Artificial intelligence-based automated scoring of the Clock Drawing Test in older adults in primary care: association with Mini-Mental State Examination scores, discriminative performance, and agreement with clinician rating

The authors aimed to evaluate the effectiveness of an artificial intelligence (AI)-based automated scoring system for the Clock Drawing Test (CDT) in detecting cognitive impairment among older adults in primary care. They found that while AI scoring correlated moderately with Mini-Mental State Examination (MMSE) scores and demonstrated good agreement with clinician ratings, it had lower accuracy compared to manual scoring, suggesting it may serve as a supportive tool rather than a replacement for traditional assessments.