Ahmad 
Scientists from Boston University have developed an artificial intelligence algorithm capable of analyzing speech and identifying early indicators of Alzheimer’s disease, with an accuracy of up to 78.5% in predicting cases of cognitive impairment.
The algorithm was trained using data from transcribed audio recordings of 166 people with mild cognitive impairment, aged between 63 and 97 years.
The research team, which was familiar with individuals whose condition had progressed to Alzheimer’s, used the information to enhance a machine learning model that reveals specific speech patterns associated with the development of the disease.
Researcher Ioannis Bachalidis pointed out that this algorithm enhances the possibility of predicting future cases and provides a time window for early and effective intervention through medications to maintain the health stability of patients and prevent the deterioration of their condition into more serious forms of dementia.
According to the World Health Organization, there are currently 55 million people living with dementia around the world, and this number is expected to rise to 139 million by 2050. Alzheimer’s disease is the most common cause of dementia, representing 60-70% of all cases.
Most cases of Alzheimer’s disease occur in people over the age of 65, however, 4-5% of cases occur in younger people.
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