Politico September 5, 2024
THE LAB
Health providers hope artificial intelligence can hear what humans can’t.
Audio-focused AI systems, they think, can turn the sound of patients’ speech, breathing or coughing into a diagnosis.
How so? AI models trained on huge amounts of audio may be able to link sound with health.
Google researchers recently announced the creation of a model trained on the sound of nearly 100 million coughs to aid researchers.
Salcit Technologies, an India-based company, is exploring how Google’s model could expand its current work, particularly in developing tools that could aid in the early detection of tuberculosis.
What’s next? Applications of “acoustic health research” could go beyond respiratory diseases.
Kintsugi, a California-based health AI startup focused on diagnosing clinical depression...
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