Progress and Challenges of Artificial Intelligence in Lung Cancer Clinical Translation

Authors

Erjia Zhu
Amgad Muneer
Jianjun Zhang
Yang Xia
Xiaomeng Li
Caicun Zhou
John V Heymach
Jia Wu
Xiuning Le

Publication Date

7-1-2025

Journal

NPJ Precisoin Oncology

DOI

10.1038/s41698-025-00986-7

PMID

40595378

PMCID

PMC12214742

PubMedCentral® Posted Date

7-1-2025

PubMedCentral® Full Text Version

Post-print

Abstract

Artificial intelligence (AI) algorithms, such as convolutional neural networks and transformers, have significantly impacted cancer care. For lung cancer, AI holds great potential in addressing smoking cessation, personalized screening, and imaging genomics. And these data could be incorporated to optimize treatment selection. This review highlights the transformative impact of AI in lung cancer management, discusses crucial barriers such as model bias and fairness, and outlines future directions for clinical application.

Published Open-Access

yes

Recommended Citation

Zhu, Erjia; Muneer, Amgad; Zhang, Jianjun; et al., "Progress and Challenges of Artificial Intelligence in Lung Cancer Clinical Translation" (2025). Faculty, Staff and Student Publications. 4475.
https://digitalcommons.library.tmc.edu/uthgsbs_docs/4475