Use of a Dual Artificial Intelligence Platform to Detect Unreported Lung Nodules.

Journal: Journal of computer assisted tomography
Published Date: May 13, 2025

Abstract

OBJECTIVE: To investigate the performance of Dual-AI Deep Learning Platform in detecting unreported pulmonary nodules that are 6 mm or greater, comprising computer-vision (CV) algorithm to detect pulmonary nodules, with positive results filtered by natural language processing (NLP) analysis of the dictated report.

Authors

  • Andrew Yen
  • Yitzi Pfeffer
    IMedis-AI Ltd, Raanana, Israel.
  • Aviel Blumenfeld
    IMedis-AI Ltd, Raanana, Israel.
  • Jonathan N Balcombe
    IMedis-AI Ltd, Raanana, Israel.
  • Lincoln L Berland
    Department of Radiology, University of Alabama at Birmingham, Birmingham, AL.
  • Lawrence Tanenbaum
    Radnet Inc., Los Angeles, CA.
  • Seth J Kligerman
    Department of Radiology, University of California, San Diego, 9452 Medical Center Dr, 4th Floor, La Jolla, CA 92037 (T.A.R., S.J.K., K.E.J., A.C.Y., S.S.B., L.D.H., A.H.); and Department of Mathematics and Statistics, San Diego State University, San Diego, Calif (K.A.H.).

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