Discover the newest research about AI innovations in π« Pulmonology.
Causal ML identifies patients with sepsis and AKI who benefit from restrictive fluid therapy. ππ Early AKI reversal rates improved significantly!
Transbronchial cryobiopsy enhances lung disease diagnosis with minimal invasiveness, improving sample quality and reducing complications. π©ΊβοΈ
Revolutionary model achieves 97% accuracy in classifying lung cancer subtypes! ππ¬ Robust across diverse datasets!
Global AKI: 2 million deaths annually, rising chronic kidney disease risk, and urgent need for equitable care. ππ
AI in CT Detection of COPD: 189 Publications, 37.83% Growth ππ
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
