Eleven XCAT phantoms of varying anatomy were used in this paper. The lung lobes and initial branches of the airways, pulmonary arteries, and veins were previously defined in each XCAT model. These ...

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A deep learning model was able to predict future lung cancer risk from a single low-dose chest CT scan, according to new research published at the ATS 2025 International Conference. The model ...

Use of an accurate model that incorporates additional risk factors to select persons for screening may identify more persons who have lung cancer or in whom lung cancer will develop. The AUC was 0 ...

instantly blocking all airflow to the lungs. The small airway size leaves virtually no margin for partial breathing around an obstruction. The anatomical positioning of a toddler’s airway ...

The idea centered to the research was: changes in a person's voice could reflect anatomical or functional disruption in the lungs ... The AI model is trained on these audio samples to ...

This innovative life-course lung trajectory model provides a new benchmark to compare lung function growth between populations, to track lung function growth in at-risk populations (eg, in children ...

A CT scan shows chronic consolidation with progressive cavitation, resulting in volume loss, in the upper lobe. Pleural thickening adjacent to apical cavitary lesions is common. The cavitations can ...

aCenter for Public Health and Epidemic Preparedness & Response, Peking University, Beijing, China bDepartment of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing, ...