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REVIEW article

Front. Oncol.
Sec. Thoracic Oncology
Volume 14 - 2024 | doi: 10.3389/fonc.2024.1486310
This article is part of the Research Topic Personalized Medicine in Early-Stage Lung Cancer: The Role and Future of Robotic-Assisted Techniques View all articles

Artificial Intelligence in Lung Cancer: Current Applications, Future Perspectives, and Challenges

Provisionally accepted
Dongdong Huang Dongdong Huang 1*Zifang Li Zifang Li 2Tao Jiang Tao Jiang 1Chaojuan Yang Chaojuan Yang 1Ning Li Ning Li 1
  • 1 Department of Respiratory and Critical Care Medicine, Fourth Affiliated Hospital, School of Medicine, Zhejiang University, Yiwu, China
  • 2 Yiwu Central Hospital, Yiwu, China

The final, formatted version of the article will be published soon.

    Artificial intelligence (AI) has significantly impacted various fields, including oncology. This comprehensive review examines the current applications and future prospects of AI in lung cancer research and treatment. We critically analyze the latest AI technologies and their applications across multiple domains, including genomics, transcriptomics, proteomics, metabolomics, immunomics, microbiomics, radiomics, and pathomics in lung cancer research. The review elucidates AI's transformative role in enhancing early detection, personalizing treatment strategies, and accelerating therapeutic innovations. We explore AI's impact on precision medicine in lung cancer, encompassing early diagnosis, treatment planning, monitoring, and drug discovery. The potential of AI in analyzing complex datasets, including genetic profiles, imaging data, and clinical records, is discussed, highlighting its capacity to provide more accurate diagnoses and tailored treatment plans. Additionally, we examine AI's potential in predicting patient responses to immunotherapy and forecasting survival rates, particularly in non-small cell lung cancer (NSCLC). The review addresses technical challenges facing AI implementation in lung cancer care, including data quality and quantity issues, model interpretability, and ethical considerations, while discussing potential solutions and emphasizing the importance of rigorous validation. By providing a comprehensive analysis for researchers and clinicians, this review underscores AI's indispensable role in combating lung cancer and its potential to usher in a new era of medical breakthroughs, ultimately aiming to improve patient outcomes and quality of life.

    Keywords: : Artificial Intelligence, lung cancer, precision medicine, early diagnosis, personalized treatment

    Received: 25 Aug 2024; Accepted: 18 Oct 2024.

    Copyright: © 2024 Huang, Li, Jiang, Yang and Li. 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: Dongdong Huang, Department of Respiratory and Critical Care Medicine, Fourth Affiliated Hospital, School of Medicine, Zhejiang University, Yiwu, 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.