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Briefing
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- Alzheimer’s Detecting AI – Researchers from University of California in San Francisco and Berkeley developed deep learning algorithm that detects Alzheimer’s disease at onset six years earlier than current diagnostic methods
- AI Training – Used database of 2,100 brain scan images from 1,002 patients, training AI on 90% of dataset and testing AI on remaining 10%
- 100% Accuracy – Achieved 100% accuracy in detecting Alzheimer’s six years earlier on average when tested on 40 new brain images from 40 patients
- Benefits – Early diagnosis can lead to solutions that will slow down or halt disease
- Next Steps – Include conducting study on larger sample of patients, and additional training for AI to detect biomarkers specific to Alzheimer’s
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Accelerator
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Sector
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Healthcare/Health Sciences
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Organization
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University of California - Berkeley, University of California - San Francisco
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Source
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Original Publication Date
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November 6, 2018
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