MINI REVIEW article
Front. Oncol.
Sec. Cancer Imaging and Image-directed Interventions
Volume 15 - 2025 | doi: 10.3389/fonc.2025.1613347
This article is part of the Research TopicExploring the Applications of Artificial Intelligence in Disease Screening, Diagnosis, Treatment, and NursingView all 12 articles
Applications of Artificial Intelligence in Lung Cancer Screening, Diagnosis, Prognosis Prediction and Treatment Response Evaluation
Provisionally accepted
- Department of Respiratory and Critical Care Medicine, First Affiliated Hospital with Nanjing Medical University, Nanjing, 210029, Jiangsu, China, Jiangsu, China
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Artificial intelligence (AI) and radiomics have revolutionized lung cancer management by enhancing screening, diagnosis, prognosis prediction, and treatment evaluation. AI-driven models, including deep learning and machine learning, demonstrate high accuracy in differentiating benign/malignant pulmonary nodules, predicting lymph node metastasis and identifying driver gene mutations. Radiomics also optimizes treatment strategies by assessing immunotherapy response and monitoring tumor progression. Despite its potential, challenges like algorithm interpretability and standardized clinical validation persist. This review summarizes AI's transformative role in precision oncology while addressing current limitations to guide future research.
Keywords: artificial intelligence, Radiomics, lung cancer, precision oncology, deep learning, treatment response
Received: 22 Apr 2025; Accepted: 18 Aug 2025.
Copyright: © 2025 Zhang, Wei, Liu and Qi. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Xu Qi, Department of Respiratory and Critical Care Medicine, First Affiliated Hospital with Nanjing Medical University, Nanjing, 210029, Jiangsu, China, Jiangsu, China
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.