{"title":"Artificial intelligence in lung cancer: from diagnosis to therapy.","authors":"Yongsheng Wang, Liyun Miao, Caicun Zhou","doi":"10.1097/CCO.0000000000001199","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose of review: </strong>This review focuses on the current role of artificial intelligence (AI) in lung cancer screening, diagnosis and therapy. We also highlight its strengths in improving the accuracy and efficiency of these processes.</p><p><strong>Recent findings: </strong>We evaluate AI's potential in lung cancer screening and prevention, which involves lung nodules detection and differentiation, risk classification and monitoring, and even combination with liquid biopsy in early detection. Additionally, AI's value in patients' selection and treatment planning during surgery, radiotherapy and systemic therapy has been demonstrated. Ultimately, AI's capability in predicting clinical outcomes and toxicities helps in making more informed decisions regarding treatment strategies.</p><p><strong>Summary: </strong>Artificial intelligence demonstrates great potential in lung cancer management. Although there are limitations to AI and challenges remain, AI based interventions will play a key role in lung cancer management in future.</p>","PeriodicalId":10893,"journal":{"name":"Current Opinion in Oncology","volume":" ","pages":"83-88"},"PeriodicalIF":2.4000,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current Opinion in Oncology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1097/CCO.0000000000001199","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/10/13 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"ONCOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Purpose of review: This review focuses on the current role of artificial intelligence (AI) in lung cancer screening, diagnosis and therapy. We also highlight its strengths in improving the accuracy and efficiency of these processes.
Recent findings: We evaluate AI's potential in lung cancer screening and prevention, which involves lung nodules detection and differentiation, risk classification and monitoring, and even combination with liquid biopsy in early detection. Additionally, AI's value in patients' selection and treatment planning during surgery, radiotherapy and systemic therapy has been demonstrated. Ultimately, AI's capability in predicting clinical outcomes and toxicities helps in making more informed decisions regarding treatment strategies.
Summary: Artificial intelligence demonstrates great potential in lung cancer management. Although there are limitations to AI and challenges remain, AI based interventions will play a key role in lung cancer management in future.
期刊介绍：
With its easy-to-digest reviews on important advances in world literature, Current Opinion in Oncology offers expert evaluation on a wide range of topics from sixteen key disciplines including sarcomas, cancer biology, melanoma and endocrine tumors. Published bimonthly, each issue covers in detail the most pertinent advances in these fields from the previous year. This is supplemented by annotated references detailing the merits of the most important papers.
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