Current and future applications of artificial intelligence in lung cancer and mesothelioma.

Journal: Thorax
Published Date: Jun 20, 2025

Abstract

BACKGROUND: Considerable challenges exist in managing lung cancer and mesothelioma, including diagnostic complexity, treatment stratification, early detection and imaging quantification. Variable incidence in mesothelioma also makes equitable provision of high-quality care difficult. In this context, artificial intelligence (AI) offers a range of assistive/automated functions that can potentially enhance clinical decision-making, while reducing inequality and pathway delay.

Authors

  • Joshua J Roche
    School of Cancer Sciences, University of Glasgow, Glasgow, UK.
  • Farzaneh Seyedshahi
    School of Cancer Sciences, University of Glasgow, Glasgow, UK.
  • Kai Rakovic
    School of Cancer Sciences, University of Glasgow, Glasgow, UK.
  • Akari Win Thu
    School of Cancer Sciences, University of Glasgow, Glasgow, UK.
  • John Le Quesne
    School of Cancer Sciences, University of Glasgow, Glasgow, UK; CRUK Beatson Institute, Garscube Estate, Glasgow, UK; Department of Histopathology, Queen Elizabeth University Hospital, Glasgow, UK.
  • Kevin G Blyth
    Glasgow Pleural Disease Unit, Queen Elizabeth University Hospital, Glasgow, UK Kevin.Blyth@glasgow.ac.uk.

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