Boston University researchers have developed an AI model that can predict with 78.5% accuracy whether a person with mild cognitive impairment will develop Alzheimer’s disease within six years. This model analyzes patient speech and could revolutionize early detection and treatment options.
By analyzing speech patterns, a new AI model can say with a high degree of accuracy whether someone with mild cognitive impairment will develop Alzheimer’s -associated dementia within six years. A machine learning model created by Boston University can predict Alzheimer’s disease progression in patients with mild cognitive impairment by analyzing speech, with an accuracy of 78.5%.
This tool leverages data from the Framingham Heart Study and offers a more accessible approach to diagnosing Alzheimer’s, potentially allowing for earlier interventions. Early Detection of Alzheimer’s Through AI Trying to figure out whether someone has Alzheimer’s disease usually involves a battery of assessments—interviews, brain imaging, blood and cerebrospinal fluid tests. But, by then, it’s probably already too late: memories have started slipping away, long established personality traits have begun subtly shifting.
If caught early, new pioneering treatments can slow the disease’s remorseless progression, but there’s no surefire way to predict who will develop the dementia associated with Alzheimer’s. Now, Boston University researchers say they have designed a promising new artificial int.