Artificial intelligence software for analysing chest X-ray images to identify suspected lung cancer: an evidence synthesis early value assessment.

Journal: Health technology assessment (Winchester, England)
PMID: 39254229

Abstract

BACKGROUND: Lung cancer is one of the most common types of cancer in the United Kingdom. It is often diagnosed late. The 5-year survival rate for lung cancer is below 10%. Early diagnosis may improve survival. Software that has an artificial intelligence-developed algorithm might be useful in assisting with the identification of suspected lung cancer.

Authors

  • Jill Colquitt
    Effective Evidence, Waterlooville, UK.
  • Mary Jordan
    Warwick Medical School, University of Warwick, Coventry, UK.
  • Rachel Court
    Warwick Medical School, University of Warwick, Coventry, UK.
  • Emma Loveman
    Warwick Medical School, University of Warwick, Coventry, UK.
  • Janette Parr
    Warwick Medical School, University of Warwick, Coventry, UK.
  • Iman Ghosh
    Warwick Medical School, University of Warwick, Coventry, UK.
  • Peter Auguste
    Warwick Medical School, University of Warwick, Coventry, UK.
  • Mubarak Patel
    Warwick Medical School, University of Warwick, Coventry, UK.
  • Chris Stinton
    Division of Health Sciences, University of Warwick, Coventry, UK.

Keywords

External Resources

Popular Topics
Recent Journals