Artificial Intelligence and Computer-Assisted Evaluation of Chest Pathology

  • Edwin J. R. van BeekEmail author
  • John T. Murchison


The use of computer-assisted diagnosis in chest pathologies has gradually made inroads into the clinical workflow of chest radiography and computed tomography. The introduction of novel machine learning tools and application of artificial intelligence will likely lead to more advanced applications, which will be better suited to what chest radiologists require to allow efficient and accurate reporting. The excitement around these software opportunities extends beyond the simple “diagnostic” utility but expands into quantifiable disease biomarkers, which will have impact on patients’ management, the selection of patients for clinical trials of new drugs and ultimately the impact of (new) treatments on long-term outcomes.

This chapter will offer insight into the use of computer-assisted systems in the main areas of lung nodules/lung cancer, pulmonary embolism and parenchymal and airways diseases.


Thoracic imaging Lung cancer Chronic obstructive pulmonary diseases Pulmonary fibrosis Biomarkers 


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© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Edinburgh ImagingUniversity of EdinburghEdinburghUK
  2. 2.Department of RadiologyRoyal Infirmary of EdinburghEdinburghUK

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