AI tool predicts Alzheimer's progression with 82% accuracy in individuals with mild cognitive impairment, significantly outperforming current diagnostic methods.
The AI tool utilizes cognitive tests and MRI data to differentiate between those progressing to Alzheimer's and those remaining stable, aiding early diagnosis and patient care.
Zoe Kourtzi emphasized the importance of training the AI model on diverse, real-world data to enhance its generalizability and potential for adoption in healthcare settings.
The tool's sensitivity in predicting Alzheimer's progression aims to improve patient well-being, reduce anxiety, and alleviate healthcare pressures by targeting care to those in need.
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