Leveraging Artificial Intelligence as a Safety Net for Incidentally Identified Lung Nodules at a Tertiary Center.

Journal: Journal of the American College of Surgeons
PMID: 39803962

Abstract

BACKGROUND: Artificial intelligence (AI)-powered platforms may be used to ensure that clinically significant lung nodules receive appropriate management. We studied the impact of a commercially available AI natural language processing tool on the detection of clinically significant indeterminate pulmonary nodules (IPNs) based on radiology reports and provision of guideline-consistent care.

Authors

  • Palina Woodhouse
    From the Departments of Thoracic Surgery (Woodhouse, Meyers, Sharp, Grogan), VA Tennessee Valley Healthcare System, Nashville, TN.
  • Rafael Paez
    Division of Allergy, Pulmonary and Critical Care Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tenn.
  • Patrick Meyers
    From the Departments of Thoracic Surgery (Woodhouse, Meyers, Sharp, Grogan), VA Tennessee Valley Healthcare System, Nashville, TN.
  • Rob J Lentz
    Allergy, Pulmonary and Critical Care Medicine (Paez, Lentz, Shojaee, Baldi, Maldonado), VA Tennessee Valley Healthcare System, Nashville, TN.
  • Samira Shojaee
    Division of Allergy, Pulmonary, and Critical Care Medicine, Department of Internal Medicine, Vanderbilt University Medical Center, Nashville, Tennessee.
  • Kenneth Sharp
    From the Departments of Thoracic Surgery (Woodhouse, Meyers, Sharp, Grogan), VA Tennessee Valley Healthcare System, Nashville, TN.
  • Nikki Baldi
    Allergy, Pulmonary and Critical Care Medicine (Paez, Lentz, Shojaee, Baldi, Maldonado), VA Tennessee Valley Healthcare System, Nashville, TN.
  • Fabien Maldonado
    Mechanical Engineering Department, Vanderbilt University, Nashville, TN, USA.
  • Eric L Grogan
    Department of Thoracic Surgery, Vanderbilt University Medical Center, Nashville, Tenn.

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