Artificial intelligence (AI) is poised to revolutionize multiple sectors, and healthcare is no exception. A groundbreaking study reveals that machine learning algorithms can more swiftly and cost-effectively detect women at risk of severe subjective cognitive decline during the menopause transition. This advancement could significantly improve how cognitive health is managed in this demographic. The study’s findings have been published in Menopause, the journal of The Menopause Society.
Subjective cognitive decline (SCD) refers to the perception of memory or cognitive function deterioration. This symptom, common during the menopause transition, is particularly concerning as it can degrade a woman’s quality of life and may signal a heightened risk for more severe neurodegenerative conditions, such as Alzheimer’s disease.
Prior research has identified several risk factors for cognitive decline, including age, hypertension, obesity, and depression. However, most existing models for assessing cognitive health focus on dementia, a progressive, incurable condition with few clinical intervention options. Although SCD does not always progress to dementia or severe cognitive decline, early identification through predictive models could enable timely interventions to safeguard cognitive health.
Current cognitive testing generally involves complex and costly models that rely on lab-based measures, such as blood glucose levels, lipid profiles, and brain imaging. These methods can be prohibitive for widespread clinical use. In contrast, questionnaire-based models are simpler, more affordable, and still incorporate a wide array of factors, such as sociodemographic background, work-related factors, menstrual history, lifestyle, and mental health.
Recent advances in machine learning have opened new doors for cognitive health. By analyzing vast datasets to uncover patterns, AI can develop accurate models that account for the intricate relationships between various influencing factors. In this new study, involving over 1,200 women experiencing the menopause transition, researchers successfully created and validated an AI-driven model capable of detecting severe subjective cognitive decline and the factors that contribute to it.
This innovative research offers valuable insights for developing early interventions aimed at protecting cognitive health in women undergoing menopause. While the findings are promising, further studies are needed to confirm these results and explore additional factors that may influence cognitive decline.
Related topics:
GS Retail Takes a Stand in Addressing Low Birthrate Crisis with Family-Friendly Policies
Zoho’s Sridhar Vembu Advocates for ‘Pro-Baby’ Economic Development Amid Demographic Crisis
Hong Kong’s Fertility Restrictions Push Residents to Seek Alternatives Abroad
