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


( Last Updated : November 14, 2019)
Project Line:
Reference List
Project Sub Line:
Summary of Abstracts
Project Number:
RB1411-000

Details


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.