AI may help identify subjective cognitive decline during menopause transition, highlights research
Artificial intelligence (AI) is positioned to make a major impact on almost every industry, including healthcare. A new study suggests that machine learning models can more quickly and affordably identify women with severe subjective cognitive decline during the menopause transition, effectively opening the door to better management of cognitive health. Results of the study are published online today in Menopause, the journal of The Menopause Society.
Subjective cognitive decline refers to a person’s perceived decline in memory or other cognitive functions. Cognitive decline, one of the more common symptoms related to the menopause transition, is especially concerning, because it not only affects a woman’s quality of life but can also indicate a higher risk of severe neurodegenerative diseases, such as Alzheimer disease.
Previous evidence suggests a number of risk factors for cognitive decline, including aging, hypertension, obesity, and depression, among others. A challenge is that most current models for cognitive health are centered around dementia, an incurable disease that offers limited opportunities for clinical intervention. Although subjective cognitive decline does not always predict long-term cognitive changes or dementia, a predictive model for cognitive decline and related factors could allow for early intervention to protect cognitive health.
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