On September 19, researchers from around the world are making significant progress in the early detection of Alzheimer's disease. Early diagnosis is crucial because it allows patients to access treatments that can slow the progression of the disease and gives them time to manage legal, financial, and personal affairs. While many scientists focus on blood tests or cerebrospinal fluid analysis, others are developing advanced tools to identify early symptoms. However, a team from the University of Bari in Italy has taken a different approach: using artificial intelligence (AI) to detect early signs of Alzheimer’s.
The researchers trained their AI system using 67 MRI scans—38 from Alzheimer’s patients and 29 from healthy individuals. They divided each scan into smaller regions and used the AI to analyze the connections between neurons. After training, the algorithm was tested on 148 participants, including 48 people with Alzheimer’s and 48 with mild cognitive impairment (MCI), which often precedes the disease. The AI successfully identified Alzheimer’s with an accuracy rate of 86%, and it detected MCI with 84% accuracy, proving its potential as a powerful tool for early diagnosis.
Although the study was based on data from the Alzheimer’s Neuroimaging Initiative at the University of Southern California, the results are promising. With more data and further development, AI could become even more accurate, eventually offering a non-invasive and reliable method for early detection. This advancement could revolutionize how we diagnose and treat Alzheimer’s, giving patients more time and better options for managing their condition.
[English Source: engadget | Author: Mariella Moon | Compilation: NEW YORK | See foreign intelligence platform | Compiler revision: Simone]
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