How AI Predicts Alzheimer's Years Before Symptoms Appear

Lucas and Luna explore a new wave of predictive AI in neurology: machine learning models that analyze brain scans, speech patterns, and electronic health records to flag Alzheimer's risk up to seven years before clinical symptoms emerge. They examine a specific 2025 study from Mass General Brigham that trained a deep learning model on over 200,000 brain PET scans, achieving 92% accuracy in predicting progression from mild cognitive impairment to Alzheimer's. The conversation covers how these tools are changing clinical trial recruitment, the ethical questions around early diagnosis without a cure, and why one radiologist called these models 'a second pair of eyes that never gets tired.' #ArtificialIntelligence #Alzheimers #Neurology #PredictiveAI #MassGeneralBrigham #BrainScans #DeepLearning #HealthTech #MedicalAI #EarlyDiagnosis #ClinicalTrials #Radiology #PETScans #MachineLearning #DigitalHealth #Business #FexingoBusiness #BusinessPodcast Keep every episode free: buymeacoffee.com/fexingo