McJackTang/LLM-HealthAssistant
ALPHA: AnomaLous Physiological Health Assessment Using Large Language Models (AI Health Summit 23)
This project helps healthcare professionals and personal health enthusiasts interpret physiological data from FDA-approved devices. It takes raw vital sign data, like heart rate and oxygen saturation readings, including from images like PPG waveforms, and outputs precise measurements and health status assessments. Anyone monitoring personal health, especially in conditions that might induce anomalies, would find this valuable.
No commits in the last 6 months.
Use this if you need to accurately analyze physiological sensor data and assess health status, particularly in scenarios where abnormal conditions might occur.
Not ideal if you are looking for a diagnostic tool for severe medical conditions, as this is an assessment and monitoring assistant, not a substitute for professional medical advice.
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Last pushed
Feb 25, 2025
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