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Last Posted: Apr 25, 2023

• Collaboration between explainable artificial intelligence and pulmonologists improves the accuracy of pulmonary function test interpretation.
  Nilakash Das et al. Eur Respir J
• Detection and staging of chronic obstructive pulmonary disease using a computed tomography-based weakly supervised deep learning approach.
  Sun Jiaxing et al. European radiology 2022
• A Machine Learning Application to Predict Early Lung Involvement in Scleroderma: A Feasibility Evaluation.
  Murdaca Giuseppe et al. Diagnostics (Basel, Switzerland) 2021 11(10)
• Machine learning for lung texture analysis on thin-section CT: Capability for assessments of disease severity and therapeutic effect for connective tissue disease patients in comparison with expert panel evaluations.
  Ohno Yoshiharu et al. Acta radiologica (Stockholm, Sweden : 1987) 2021 2841851211044973
• Application of Machine Learning in Pulmonary Function Assessment Where Are We Now and Where Are We Going?
  Giri Paresh C et al. Frontiers in physiology 2021 12678540
• Artificial intelligence/machine learning in respiratory medicine and potential role in asthma and COPD diagnosis.
  Kaplan Alan et al. The journal of allergy and clinical immunology. In practice 2021
• Novel machine learning can predict acute asthma exacerbation.
  Zein Joe G et al. Chest 2021 Jan
• Expert artificial intelligence-based natural language processing characterises childhood asthma.
  Seol Hee Yun et al. BMJ open respiratory research 2020 Feb 7(1)
• Elastic Registration-driven Deep Learning for Longitudinal Assessment of Systemic Sclerosis Interstitial Lung Disease at CT.
  Chassagnon Guillaume et al. Radiology 2020 Oct 200319
• Does an mHealth system reduce health service use for asthma?
  To Teresa et al. ERJ open research 2020 Jul 6(3)

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