RÖKO 2024

Comparative Outcomes of Surgery and SBRT for Stage I Lung Cancer in Koreans: A Propensity Matched Multidisciplinary Cohort Study

Discordant definitions of small airway dysfunction between spirometry and parametric response mapping: the HRCT-based study

Lung Nodule Management in Low-Dose CT Screening for Lung Cancer: Lessons from the NELSON Trial

Content-based Image Retrieval by Using Deep Learning for Interstitial Lung Disease Diagnosis with Chest CT

High Recruitment Rate and Performance of a National Lung Cancer Screening Network Implementing Web-Based Instruments

Automated Reading May Improve the Safety of Triennial Lung Cancer Screening Intervals for Low-Risk Subjects

Computed tomography-based measurements associated with rapid lung function decline in severe asthma

Meta-analysis of deep learning approaches for automated coronary artery calcium scoring: Performance and clinical utility AI in CAC scoring: A meta-analysis: AI in CAC scoring: A meta-analysis

Comparative Outcomes of Surgery and SBRT for Stage I Lung Cancer in Koreans: A Propensity Matched Multidisciplinary Cohort Study

Lung Nodule Management in Low-Dose CT Screening for Lung Cancer: Lessons from the NELSON Trial

High Recruitment Rate and Performance of a National Lung Cancer Screening Network Implementing Web-Based Instruments

Automated Reading May Improve the Safety of Triennial Lung Cancer Screening Intervals for Low-Risk Subjects

Software using artificial intelligence for nodule and cancer detection in CT lung cancer screening: systematic review of test accuracy studies

Incidental detection of ground glass nodules and primary lung cancer in patients with breast cancer: prevalence and long-term follow-up on chest computed tomography

Theranostics and artificial intelligence: new frontiers in personalized medicine

Comparison of AI software tools for automated detection, quantification and categorization of pulmonary nodules in the HANSE LCS trial

Discordant definitions of small airway dysfunction between spirometry and parametric response mapping: the HRCT-based study

Computed tomography-based measurements associated with rapid lung function decline in severe asthma

Machine learning model for circulating tumor DNA detection in chronic obstructive pulmonary disease patients with lung cancer

Hemorrhage risk prediction after computed tomography-guided lung biopsy: Clinical parameters and quantitative pulmonary vascular analysis

Gender differences in association between expiratory dynamic airway collapse and severity of obstructive sleep apnea

Robust imaging approach for precise prediction of postoperative lung function in lung cancer patients prior to curative operation

The Impact of High Ratio of Airway Luminal Volume to Blood Volume in the Lungs on Exacerbations in Chronic Obstructive Pulmonary Disease

Relationship of computed tomography-based measurements with symptom perception and quality of life in patients with severe asthma

Meta-analysis of deep learning approaches for automated coronary artery calcium scoring: Performance and clinical utility AI in CAC scoring: A meta-analysis: AI in CAC scoring: A meta-analysis

Coronary artery calcium measurement on attenuation correction computed tomography using artificial intelligence: correlation with coronary flow capacity and prognosis

Novel risk score for predicting acute cardiovascular and cerebrovascular events after chest radiotherapy in patients with breast or lung cancer

Feasibility and limitations of deep learning–based coronary calcium scoring in PET-CT: a comparison with coronary calcium score CT

Effect of Evogliptin on the Progression of Aortic Valvular Calcification

Artificial Intelligence in Coronary Artery Calcium Scoring

Influence of computed tomography slice thickness on deep learning-based, automatic coronary artery calcium scoring software performance

Artificial intelligence using a deep learning versus expert computed tomography human reading in calcium score and coronary artery calcium data and reporting system classification

Content-based Image Retrieval by Using Deep Learning for Interstitial Lung Disease Diagnosis with Chest CT

Usefulness of CT Quantification-Based Assessment in Defining Progressive Pulmonary Fibrosis

Deep Learning-Based CT Reconstruction Kernel Conversion in the Quantification of Interstitial Lung Disease: Effect on Reproducibility

Identification of risk factors for acute exacerbation of idiopathic pulmonary fibrosis based on baseline high-resolution computed tomography: a prospective observational study

Correlation between CT-based phenotypes and serum biomarker in interstitial lung diseases

Chronic Lung Injury after COVID-19 Pneumonia: Clinical, Radiologic, and Histopathologic Perspectives

Association between body fat decrease during the first year after diagnosis and the prognosis of idiopathic pulmonary fibrosis: CT-based body composition analysis

Pulse versus non-pulse corticosteroid therapy in patients with acute exacerbation of idiopathic pulmonary fibrosis