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In our 1st episode of "#AI & #MachineLearning in #Alzheimers Research," we explore a study by Perovnik et al. on using FDG PET scans and machine learning to diagnose #dementia.   Key Points: - Enhanced Diagnostics: Machine learning algorithms were trained to differentiate Alzheimer's, Dementia with Lewy bodies, and Frontotemporal Dementia, showing better performance than experts for common dementias. - Early Detection: Improved accuracy suggests potential for earlier diagnosis, crucial for timely intervention.   Why It Matters: AI integration could enhance diagnostic precision and enable early intervention in neurodegenerative diseases.   Discussion Points: 🔹 How can we ensure AI reliability in clinical settings? 🔹 What’s needed to implement AI diagnostics in routine practice? 🔹 Could a hybrid AI-expert model improve diagnostic accuracy?   Join the Conversation: Please share your thoughts on how AI can transform dementia diagnosis.👇   Want to keep up with the latest trends in AI and Machine Learning for Alzheimer’s Research? Visit us at https://lnkd.in/gVx7s34k to get our series of 7 presentations before we publish.   #AlzheimersAwarenessMonth #Neuroscience #AIinHealthcare

Ken Wasserman

Assistant Professor at Georgetown University School of Medicine

3mo

ci = cognitively impaired; cn = cognitively normal

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