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Machine-learning system trained on millions of human audio clips shows promise for detecting COVID-19 and tuberculosis.
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- Mariana Lenharo
- Mariana Lenharo
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A team led by Google scientists has developed a machine-learning tool that can help to detect and monitor health conditions by evaluating noises such as coughing and breathing. The artificial intelligence (AI) system1, trained on millions of audio clips of human sounds, might one day be used by physicians to diagnose diseases including COVID-19 and tuberculosis and to assess how well a person’s lungs are functioning.
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Nature 628, 19-20 (2024)
doi: https://doi.org/10.1038/d41586-024-00869-0
References
Baur, S. et al. Preprint at arXiv https://doi.org/10.48550/arXiv.2403.02522 (2024).
Santosh, K. C., Rasmussen, N., Mamun, M. & Aryal, S. PeerJ. Comput. Sci. 8, e958 (2022).
Imran, A. et al. Inform. Med. Unlocked 20, 100378 (2020).
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