Concepedia

Artificial Intelligence for Low-Dose CT Lung Cancer Screening: Comparison of Utilization Scenarios

Meesun Lee, Eui Jin Hwang, Jong Hyuk Lee, Ju Gang Nam, Woo Hyeon Lim, Hyungin Park, Chang Min Park, Hyewon Choi, Jongsoo Park, Jin Mo Goo

American Journal of Roentgenology · 2025 · 19 citations · 18 references

DOI

Concepts

Abstract

Background: Artificial intelligence (AI) tools for evaluating low-dose CT (LDCT) lung cancer screening examinations are used predominantly for assisting radiologists' interpretations. Alternate utilization scenarios (e.g., use of AI as a prescreener or backup) warrant consideration.

References

18

Reduced Lung-Cancer Mortality with Low-Dose Computed Tomographic Screening

New England Journal of Medicine · 2011 · 11K citations · Full text

, , +12

Reduced Lung-Cancer Mortality with Volume CT Screening in a Randomized Trial

Harry J. de Koning, Carlijn M. van der Aalst, Pim A. de Jong et al. · New England Journal of Medicine · 2020 · 3.5K citations · Full text

, , +11

The Lung Image Database Consortium (LIDC) and Image Database Resource Initiative (IDRI): A Completed Reference Database of Lung Nodules on CT Scans

Samuel G. Armato, Geoffrey McLennan, Luc Bidaut et al. · Medical Physics · 2011 · 2.8K citations · Full text

, , +17

Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: The LUNA16 challenge

Arnaud A. A. Setio, Alberto Traverso, Thomas de Bel et al. · Medical Image Analysis · 2017 · 1.3K citations · Full text

, , +12

Towards automatic pulmonary nodule management in lung cancer screening with deep learning

Scientific Reports · 2017 · 304 citations · Full text

, , +17