Researchers help AI express uncertainty to improve health monitoring tech

A team of engineering and health researchers has developed a tool that improves the ability of electronic devices to detect when a human patient is coughing, which has applications in health monitoring. The new tool relies on an advanced artificial intelligence (AI) algorithm that helps the AI better identify uncertainty when faced with unexpected data in real-world situations. The paper, “Robust Cough Detection with Out-of-Distribution Detection,” is published in the IEEE Journal of Biomedical and Health Informatics.

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