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Artificial sensory cilia can monitor internal biomarkers to detect and assess airway diseases
Xiaoguang Dong, assistant professor of mechanical engineering at Vanderbilt University, is leading a team of researchers that has developed a system of artificial cilia capable of monitoring mucus ...
A deep learning–based artificial intelligence (AI) system detected 75.1% of airway nodules, with 0.25 false positives per scan in patients without airway nodules. The system achieved an increased ...
Xiaoguang Dong, assistant professor of mechanical engineering, is leading a team of researchers that has developed a system of artificial cilia capable of monitoring mucus conditions in human airways ...
Researchers at the University of Southampton have developed an artificial intelligence (AI) tool that can spot hard-to-see objects lodged in patients' airways better than expert radiologists. In a ...
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