Assessing cognitive health with voice biomarkers
94% precision
Using over 15 million data points
Validated by Neurologists
Doctor's waits for big symptoms. Mamsa looks for early signs.
| Mamsa | Doctor's test (MoCA) | |
|---|---|---|
| Use Case | Ideal for proactive early and continuous cognitive health monitoring. | Best for diagnosing MCI or dementia in a clinical setting. |
| How it works | AI analyzes voice patterns (e.g., tone, hesitation) to detect subtle changes. | Structured tasks to assess memory, attention, and more. |
| Ease of use | ~1 minute test of natural speech done remotely. | 10–15 minutes of structured tasks done with a clinician. |
| Accuracy in Early Detection | Detects subtle cognitive changes early through voice analysis. | Highly sensitive but better for later-stage detection. |
| Long-term use | Ideal for continuous monitoring of cognitive health. | One-time evaluation not designed for ongoing use. |
Use Case
Mamsa
Ideal for proactive early and continuous cognitive health monitoring.
Doctor's test (MoCA)
Best for diagnosing MCI or dementia in a clinical setting.
How it works
Mamsa
AI analyzes voice patterns (e.g., tone, hesitation) to detect subtle changes.
Doctor's test (MoCA)
Structured tasks to assess memory, attention, and more.
Ease of use
Mamsa
~1 minute test of natural speech done remotely.
Doctor's test (MoCA)
10–15 minutes of structured tasks done with a clinician.
Accuracy in Early Detection
Mamsa
Detects subtle cognitive changes early through voice analysis.
Doctor's test (MoCA)
Highly sensitive but better for later-stage detection.
Long-term use
Mamsa
Ideal for continuous monitoring of cognitive health.
Doctor's test (MoCA)
One-time evaluation not designed for ongoing use.