The global epidemiology of acute kidney injury: challenges and opportunities.
Global AKI: 2 million deaths annually, rising chronic kidney disease risk, and urgent need for equitable care. ππ
December 6, 2025
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Discover the newest research about AI innovations in π« Pulmonology.
Global trends and hotspots in AI applications for CT detection of chronic obstructive pulmonary disease: A bibliometric analysis from 2012 to 2024.
AI in CT Detection of COPD: 189 Publications, 37.83% Growth ππ
November 22, 2025
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.
November 2, 2025
Foreign body removal.
Airway foreign body aspiration poses risks, especially in children and seniors. Recent studies show 98-99% diagnostic accuracy with advanced imaging. π©Ίπ
October 13, 2025
Lung lobe segmentation: performance of open-source MOOSE, TotalSegmentator, and LungMask models compared to a local in-house model.
Lung lobe segmentation tools evaluated: TotalSegmentator excels, while data diversity enhances model accuracy. ππ«
September 5, 2025
Advances in the Application of Three-Dimensional Reconstruction in Thoracic Surgery: A Comprehensive Review.
“3D Reconstruction in Thoracic Surgery: Enhancing Precision & Outcomes ππ”
August 31, 2025
Bronchiectasis in patients with chronic obstructive pulmonary disease: AI-based CT quantification using the bronchial tapering ratio.
AI quantifies bronchiectasis in COPD patients, linking scores to mortality and exacerbation risks. ππ
August 27, 2025
Economic Evaluations and Equity in the Use of Artificial Intelligence in Imaging Examinations for Medical Diagnosis in People With Dermatological, Neurological, and Pulmonary Diseases: Systematic Review.
AI in Medical Imaging: Economic Benefits & Equity Challenges ππ€
August 14, 2025
Enhancing Privacy in Clinical Texts: A New Approach to De-Identification of Brazilian Clinical Narratives.
New method for de-identifying clinical texts achieves precision 0.92, recall 0.93, F1-score 0.93! ππ
August 9, 2025
Establishing an AI-based diagnostic framework for pulmonary nodules in computed tomography.
AI framework enhances pulmonary nodule detection in CT scans: 90.58% accuracy, AUROC 0.9058, improving clinical outcomes. π©»π€
July 13, 2025