Artificial Intelligence: Can It Save Lives, Hospitals, and Lung Screening?

Journal: The Annals of thoracic surgery
Published Date:

Abstract

BACKGROUND: Early detection is essential in lung cancer survival. Lung screening or incidental detection on unrelated imaging holds the most promise for early detection. With the large volume of imaging performed today, management of incidental pulmonary nodules can be difficult. We hypothesized an artificial intelligence (AI) tool could reliably read all imaging reports, detect, and effectively triage indeterminate pulmonary nodules without adding additional personnel, helping save lives.

Authors

  • James R Headrick
    Department of Thoracic Surgery, University of Tennessee College of Medicine, Chattanooga, Tennessee; CHI Memorial Thoracic Surgery, Chattanooga, Tennessee.
  • Mitchell J Parker
    Department of Thoracic Surgery, University of Tennessee College of Medicine, Chattanooga, Tennessee; CHI Memorial Thoracic Surgery, Chattanooga, Tennessee.
  • Ashley D Miller
    CHI Memorial Thoracic Surgery, Chattanooga, Tennessee. Electronic address: ashley.miller534@commonspirit.org.