🔍 AI is shaking up Parkinson's Disease (PD) research, but there's a catch! A new review shows that only 20% of neuroimaging AI studies met all key quality standards—like controlling for data leakage, which can inflate diagnostic accuracy. Why does this matter? Misdiagnosis rates for PD are high due to overlapping symptoms with other conditions. With 70% of dopaminergic neurons already lost by the time most people are diagnosed, accurate early detection is critical! 🚨 Yet, many studies don’t account for data imbalance or use external test sets, leading to overhyped results that might not hold up in real-world settings. We need stronger quality checks to make AI a game-changer in PD diagnosis and care. 🧠 #ParkinsonsResearch #AIInHealthcare #Neuroimaging #QualityMatters #BrainHealth #MedicalAI #PrecisionMedicine Full Study: movementdisorders.onlinelibrary.wiley.com/doi/10.1002/mds.30002