A new cutting-edge AI tool predicts the progression of Alzheimer’s disease with over 80% accuracy, minus the scalpel
AI helps foretell Alzheimer’s path with 80% precision.
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What you need to know
With therapid adoption of AI, we’ve seen impressive feats and milestones being achieved across education, computing, music, and medicine. Last month, Color Health started leveragingOpenAI GPT-4o’s reasoning capabilitiestoimprove and accelerate cancer treatmentvia its copilot app.
And as it now seems, we might be on the verge of another health breakthrough with AI. Researchers from Cambridge University have seeminglydeveloped a new method for predicting the progression of Alzheimer’s disease (AD)— which promises 80% accuracy (viaThe Rundown AI).
Aside from the high level of accuracy, the new method also cuts costs on expensive assessment tests like PET scans. Early detection and prediction will help doctors make well-informed decisions, including the appropriate treatment and rehabilitation programs.
The study involved the analysis of speech data from 166 people with cognitive issues. Findings from this allowed the researchers to develop the ground-breaking method that predicts AD progression within six years. Besides neuropsychological test (NPT) results, the researchers also had access to the participants' educational background, health risk factors, and apolipoprotein E (APOE) alleles.
Researchers illustrated AI’s capabilities to automate speech recognition and natural language processing (NLP) in predicting the susceptibility to Alzheimer’s among people with mild cognitive impairment (MCI). The model predicted AD progression “with a sensitivity of 81.1, specificity of 75%, and accuracy of 78.2%.”
The model could revolutionize the healthcare landscape, with reports indicating the number of people with dementia is expected to triple in the next 5 decades. The AI-powered prediction tool could help detect early symptoms that may eventually manifest into Alzheimer’s, ultimately fostering early treatment and rehabilitation.
AI is also making an impact in other spheres of the health landscape. In January, Microsoft’s Trevor Noah featuredQuitBoton The Prompt show. QuitBot is an AI-powered “habit change” platform based onChatGPT technologydesigned to help smokers overcomenicotine addiction through emotional support.
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Kevin Okemwa is a seasoned tech journalist based in Nairobi, Kenya with lots of experience covering the latest trends and developments in the industry at Windows Central. With a passion for innovation and a keen eye for detail, he has written for leading publications such as OnMSFT, MakeUseOf, and Windows Report, providing insightful analysis and breaking news on everything revolving around the Microsoft ecosystem. You’ll also catch him occasionally contributing at iMore about Apple and AI. While AFK and not busy following the ever-emerging trends in tech, you can find him exploring the world or listening to music.
