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Will we be able to find out if your grannies have Alzheimer’s before time? Boston University uses AI to predict this degenerative disease with 80% accuracy!
AI Tool Predicts Alzheimer’s with 80% Accuracy
Researchers at Boston University have developed an AI tool that predicts with nearly 80% accuracy whether someone is at risk for Alzheimer’s disease based on their speech patterns. This tool analysed speech data from 166 participants of the Framingham Heart Study, identifying significant cognitive decline in 90 of them over a six-year period. By combining speech-recognition tools and machine learning, the model tracked connections between speech patterns and cognitive decline, providing a promising method for early detection.
Potential Impact on Alzheimer’s Care
The ability to predict Alzheimer’s progression early offers new avenues for intervention, allowing for treatments that can slow the disease and improve patient care. Early detection can facilitate personalised care plans and optimise healthcare resources. Experts highlight that current Alzheimer’s drugs are most effective when administered early, and AI tools can enhance prediction accuracy, leading to better management of the disease through lifestyle modifications and early medical interventions.
Concerns and Future Directions
Despite its promise, the AI tool’s small sample size and the potential for false positives or negatives caution against its standalone use. Experts emphasize the need for comprehensive assessment combining AI predictions with other diagnostic tools. This approach ensures a more accurate and holistic understanding of an individual’s health, reducing unnecessary stress and misdiagnoses. The tool’s ease of use and potential for long-term monitoring make it a valuable addition to Alzheimer’s research and care.
(Visit Medical News Today for the full story)
*An AI tool was used to add an extra layer to the editing process for this story.
