Progress and challenges of artificial intelligence in lung cancer clinical translation

Progress and challenges of artificial intelligence in lung cancer clinical translation

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 incorpor...

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Bibliographic Details
Main Authors: Erjia Zhu, Amgad Muneer, Jianjun Zhang, Yang Xia, Xiaomeng Li, Caicun Zhou, John V. Heymach, Jia Wu, Xiuning Le
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:npj Precision Oncology
Online Access:https://doi.org/10.1038/s41698-025-00986-7
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