Imagine detecting tuberculosis with just a smartphone recording of a cough. Google’s HeAR (Health Acoustic Representations) project is exploring this possibility by training AI to identify diseases using cough, breathing, and voice samples.
This could be revolutionary in places where lab tests aren’t easily available. Beyond TB, researchers believe AI-powered voice analysis might one day help detect heart disease, neurological disorders, or even mental health conditions.
** Would you trust a voice-based AI tool as a first step for diagnosis?
Wow, that’s really interesting! If this works well, it can help so many people where tests aren’t available. I think it’s good as a first step, but we should still confirm with a doctor.
AI detecting diseases by voice analysis holds significant promise for the early detection and effective management of the condition. However, it can never replace a proper laboratory diagnosis and can be better used as an assistive tool for diagnosis, as accuracy and reliability matters.
Very interesting, I would definitely give it a try, how can AI detect and diagnose with our own voice? The accuracy of detection should be appropriate.