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#mobile-health News & Analysis

2 articles tagged with #mobile-health. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles
AIBullisharXiv โ€“ CS AI ยท Mar 46/102
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Predicting Tuberculosis from Real-World Cough Audio Recordings and Metadata

Researchers developed an AI system that can detect tuberculosis from cough recordings with 70% accuracy using audio alone, improving to 81% when combined with clinical metadata. The study used real-world data from a phone-based app across Africa and Asia, suggesting mobile applications could enhance TB diagnosis in community health settings.

$CRV
AIBullisharXiv โ€“ CS AI ยท Mar 96/10
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RAMoEA-QA: Hierarchical Specialization for Robust Respiratory Audio Question Answering

Researchers introduced RAMoEA-QA, a new AI system that uses hierarchical specialization to answer questions about respiratory audio recordings from mobile devices. The system employs a two-stage routing approach with Audio Mixture-of-Experts and Language Mixture-of-Adapters to handle diverse recording conditions and query types, achieving 0.72 test accuracy compared to 0.61-0.67 for existing baselines.