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Artificial Intelligence for Classification of Lung Nodules: Clinical Utility, Diagnostic Accuracy, Cost-Effectiveness, and Guidelines

Last updated: November 14, 2019
Project Number: RB1411-000
Product Line: Rapid Response
Research Type: Devices and Systems
Report Type: Summary of Abstracts
Result type: Report

Question

  1. What is the clinical utility of artificial intelligence for nodule classification in screening, incidental identification, or known or suspected malignancies for lung cancer?
  2. What is the diagnostic accuracy of artificial intelligence for nodule classification in screening, incidental identification, or known or suspected malignancies for lung cancer?
  3. What is the cost-effectiveness of artificial intelligence for nodule classification in screening, incidental identification, or known or suspected malignancies for lung cancer?
  4. What are the evidence-based guidelines regarding artificial intelligence for nodule classification in screening, incidental identification, or known or suspected malignancies for lung cancer?

Key Message

Two randomized controlled trials and twelve non-randomized studies were identified regarding the clinical utility and diagnostic accuracy of artificial intelligence for nodule classification in screening, incidental identification, or known or suspected malignancies for lung cancer.