How accurate are speech-based biomarkers compared to typical neurocognitive tests such as MMSE?
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Speech-based biomarkers have shown promising accuracy compared to traditional neurocognitive tests like the Mini-Mental State Examination (MMSE) in assessing cognitive conditions. Studies have demonstrated that speech-derived biomarkers can effectively differentiate individuals with conditions like Parkinson's disease (PD) from healthy participants across multiple languages, showcasing robustness and significance. Additionally, research on Alzheimer's disease (AD) has highlighted the potential of speech-based digital biomarkers to track disease progression and treatment response, showing significant improvements in speech quality for patients receiving investigational treatment. These findings suggest that speech-based biomarkers offer a valuable alternative or complementary approach to conventional neurocognitive tests, potentially providing sensitive tools for monitoring cognitive changes in various conditions.
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| Papers (5) | Insight |
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| Speech-based biomarkers achieve above state-of-the-art accuracy of 93.8% for Alzheimer's detection, surpassing typical neurocognitive tests like MMSE. | |
| Speech-based biomarkers show promising accuracy (AUC 0.85, spec. 81%, sens. 82%) comparable to MMSE (AUC 0.85) in detecting cognitive impairment, indicating their potential as a valuable assessment tool. | |
| Speech-based biomarkers achieve above state-of-the-art accuracy of 93.8% for Alzheimer's detection, surpassing typical neurocognitive tests like MMSE. | |
| Speech-based biomarkers, like fundamental frequency standard deviation and pause time, are effective in discriminating Parkinson's disease, offering potential accuracy comparable to traditional neurocognitive tests such as MMSE. | |
1 Citations | Speech-based biomarkers showed significant improvement in tracking disease progression compared to MMSE in Alzheimer's patients treated with COR388, indicating potential for more accurate cognitive assessment in clinical trials. |
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