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Last Posted: Nov 01, 2022

• The Potential Role of Artificial Intelligence in Lung Cancer Screening Using Low-Dose Computed Tomography.
  Grenier Philippe A et al. Diagnostics (Basel, Switzerland) 2022 12(10)
• Use of machine learning models to predict prognosis of combined pulmonary fibrosis and emphysema in a Chinese population.
  Liu Qing et al. BMC pulmonary medicine 2022 22(1) 327
• Invited editorial: Q and A on hereditary lung cancer.
  Benusiglio Patrick R et al. Respiratory medicine and research 2022 81100881
• AI-Driven Model for Automatic Emphysema Detection in Low-Dose Computed Tomography Using Disease-Specific Augmentation.
  Nagaraj Yeshaswini et al. Journal of digital imaging 2022
• An Italian expert consensus on the management of alpha1-antitrypsin deficiency: a comprehensive set of algorithms.
  Balbi Bruno et al. Panminerva medica 2022
• Using contrast-enhanced CT and non-contrast-enhanced CT to predict EGFR mutation status in NSCLC patients-a radiomics nomogram analysis.
  Yang Xiaoyan et al. European radiology 2021
• Prevalence of Alpha-1 Antitrypsin Deficiency, Self-reported Behavior Change, and Healthcare Engagement Among Direct-to-Consumer Recipients of a Personalized Genetic Risk Report.
  Ashenhurst James R et al. Chest 2021
• Differential Genomic Profile in TERT, DSP, and FAM13A Between COPD Patients With Emphysema, IPF, and CPFE Syndrome.
  Guzmán-Vargas Javier et al. Frontiers in medicine 2021 8725144
• The cardiovascular phenotype of Chronic Obstructive Pulmonary Disease (COPD): Applying machine learning to the prediction of cardiovascular comorbidities.
  Nikolaou Vasilis et al. Respiratory medicine 2021 186106528
• Automated CT Staging of Chronic Obstructive Pulmonary Disease Severity for Predicting Disease Progression and Mortality with a Deep Learning Convolutional Neural Network.
  Hasenstab Kyle A et al. Radiology. Cardiothoracic imaging 2021 3(2) e200477

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