CT Scan Changes Over One Year Predict Outcomes in Fibrotic Lung Disease
CT scan changes over one year can indicate future outcomes in fibrotic lung disease. ππ« Early detection is crucial.
Discover the newest research about AI innovations in π« Pulmonology.
CT scan changes over one year can indicate future outcomes in fibrotic lung disease. ππ« Early detection is crucial.

Airway foreign body aspiration poses risks, especially in children and seniors. Recent studies show 98-99% diagnostic accuracy with advanced imaging. π©Ίπ

Lung lobe segmentation tools evaluated: TotalSegmentator excels, while data diversity enhances model accuracy. ππ«

“3D Reconstruction in Thoracic Surgery: Enhancing Precision & Outcomes ππ”

AI quantifies bronchiectasis in COPD patients, linking scores to mortality and exacerbation risks. ππ

AI in Medical Imaging: Economic Benefits & Equity Challenges ππ€

New method for de-identifying clinical texts achieves precision 0.92, recall 0.93, F1-score 0.93! ππ

AI framework enhances pulmonary nodule detection in CT scans: 90.58% accuracy, AUROC 0.9058, improving clinical outcomes. π©»π€

Telemedicine in Home Mechanical Ventilation: ERS Guidelines Highlight Conditional Recommendations for COPD & Neuromuscular Patients ππ»

Deep learning model Sybil predicts lung cancer risk from a single LDCT scan, aiding personalized screening strategies. π©»π‘