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Google Researches New AI Technology: Detecting Diseases Through Sound Using Smartphones

Google is leveraging artificial intelligence technology to analyze sound data, aiming to predict and detect health issues early, particularly tuberculosis. In partnership with Indian startup Salcit Technologies, the plan is to integrate this innovative technology into smartphones for easier use in resource-limited areas. This method can assist in diagnosing health conditions through simple audio like cough sounds. Google's ongoing exploration in the health sector, including disease detection through olfactory technology, demonstrates its commitment to enhancing health management capabilities through technological means.

11.9k 5 days ago
Google Researches New AI Technology: Detecting Diseases Through Sound Using Smartphones

Google HeAR Model: Diagnosing Diseases by Sound, AI as a Health Guardian

Google's HeAR bioacoustic model detects various diseases such as tuberculosis, COVID-19, and chronic obstructive pulmonary disease by analyzing sounds, trained on 313 million audio clips, demonstrating exceptional diagnostic capabilities. HeAR outperforms existing models in multiple health acoustic events, cough, and lung function inference tasks, particularly excelling in detecting COVID-19 and tuberculosis. Salcit Technologies has applied HeAR in its product Swaasa® for lung assessment.

15.2k 4 days ago
Google HeAR Model: Diagnosing Diseases by Sound, AI as a Health Guardian

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Qwen_v2.5_1.5b_base

Alibaba

Qwen_v2.5_1.5b_base

$2

Input tokens/M

-

Output tokens/M

32

Context Length

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