Key takeaways from a review of AI in Parkinson’s disease neuroimaging: • 810 studies reviewed, 244 focused on AI for PD diagnosis, prognosis, or intervention. • Most studies aimed to distinguish PD from healthy controls (54%) or atypical parkinsonian syndromes (25%). • 20% passed all quality standards for data handling, model complexity, and reporting. Common issues: • Data leakage inflated accuracy results. • Few studies used external test sets (8%). • Data imbalance was not always addressed. Conclusion: While AI shows promise, many studies need improvement in quality to boost clinical utility and generalizability. #Parkinsons #AI #Neuroimaging #Research Full Study: pmc.ncbi.nlm.nih.gov/articles/pmid/39235364