Advances And Prospect Of Artificial Intelligence In Theranostics Of Lung Cancer

Lung cancer is the first cause of cancer death worldwide. How to realize precise theranostics and management of Lung cancer has huge clinical demand. In past decade, artificial intelligence (AI), especially machine learning (ML) and deep learning (DL) are broadly used in medicine. Herein we focus on reviewing the main advances of ML and DL in diagnosis, treatment and prognosis of lung cancer. Besides, we summarize AI’s advantages, explore how AI assists theranostics of lung cancer by innovative AI algorithms, then we discussed the opportunities and challenges as well as the future directions in the clinical implementation of AI in lung cancer. Overall, AI integrated with multidisciplinary technology and data is a new development trend, its application in theranostics of lung cancer owns excellent clinical transformation value and prospect in near future. Keywords : Artificial intelligence; Deep learning; algorithms; Lung cancer; Theranostics.

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Publication Details

Journal
The Clinical Lung Cancer
Published
2025-03-26
DOI
https://doi.org/10.52338/tclc.2025.4508
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
0.00
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article

Advances And Prospect Of Artificial Intelligence In Theranostics Of Lung Cancer

R. Li, Daxiang Cui, Shengsheng Cui, Fuhua Yan et al.
The Clinical Lung Cancer
Radiomics and Machine Learning in Medical Imaging
article

Advances And Prospect Of Artificial Intelligence In Theranostics Of Lung Cancer

R. Li, Daxiang Cui, Shengsheng Cui, Fuhua Yan, Wenjin Hao, Yanlei Liu, Xuechen Cui
article en

Abstract

Lung cancer is the first cause of cancer death worldwide. How to realize precise theranostics and management of Lung cancer has huge clinical demand. In past decade, artificial intelligence (AI), especially machine learning (ML) and deep learning (DL) are broadly used in medicine. Herein we focus on reviewing the main advances of ML and DL in diagnosis, treatment and prognosis of lung cancer. Besides, we summarize AI’s advantages, explore how AI assists theranostics of lung cancer by innovative AI algorithms, then we discussed the opportunities and challenges as well as the future directions in the clinical implementation of AI in lung cancer. Overall, AI integrated with multidisciplinary technology and data is a new development trend, its application in theranostics of lung cancer owns excellent clinical transformation value and prospect in near future. Keywords : Artificial intelligence; Deep learning; algorithms; Lung cancer; Theranostics.

The Clinical Lung CancerVol. 10(1)
Openalex Percentile: Top 90%
Radiomics and Machine Learning in Medical Imaging
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Advances And Prospect Of Artificial Intelligence In Theranostics Of Lung Cancer — R. Li, Daxiang Cui, et al. · The Clinical Lung Cancer (2025) | TGRS Research Map | TGRS