- A recent study used machine learning to develop a predictive prognostic model for early dementia detection.
- The model was tested on real-world patient data and demonstrated high accuracy.
- The model accurately predicted if individuals with early dementia would progress to Alzheimer’s disease.
- The model outperformed traditional assessments and had potential to reduce misdiagnoses.
- The findings suggest a promising approach for early dementia detection in clinical practice.
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Neurology, Psychiatry & Mental Health, Artificial Intelligence