Preliminary study on the identification of benign and malignant lung nodules and prediction of pathological types using artificial intelligence software based on CT target scan

Lei CHEN; Zehua ZHANG; Rong LUO; Huijing XIANG; Ruimin LI; Zhengrong ZHOU

doi:10.19732/j.cnki.2096-6210.2025.03.009

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Preliminary study on the identification of benign and malignant lung nodules and prediction of pathological types using artificial intelligence software based on CT target scan

更新时间：2025-12-15

- Preliminary study on the identification of benign and malignant lung nodules and prediction of pathological types using artificial intelligence software based on CT target scan
- “Artificial intelligence software has shown high sensitivity and accuracy in the identification of benign and malignant pulmonary nodules and the prediction of pathological types, providing effective assistance for lung cancer screening.”
- Oncoradiology Vol. 34, Issue 3, Pages: 258-263(2025)
- 作者机构：
  
  1. 复旦大学附属肿瘤医院闵行分院影像科，上海 200240
  2. 复旦大学附属肿瘤医院放射诊断科，复旦大学上海医学院肿瘤学系，上海 200032
- 作者简介：
  
  ZHOU Zhengrong E-mail: zhouzr_16@163.com
- 基金信息：
  
  Natural Science Foundation of Minhang District in Shanghai(2020MHZ078)
- DOI：10.19732/j.cnki.2096-6210.2025.03.009
  CLC：
- Received：15 January 2025，
  
  Published Online：08 July 2025，
  
  Published：28 June 2025
- 稿件说明：
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Lei CHEN, Zehua ZHANG, Rong LUO, et al. Preliminary study on the identification of benign and malignant lung nodules and prediction of pathological types using artificial intelligence software based on CT target scan[J]. Oncoradiology, 2025, 34(3): 258-263.
DOI：

Lei CHEN, Zehua ZHANG, Rong LUO, et al. Preliminary study on the identification of benign and malignant lung nodules and prediction of pathological types using artificial intelligence software based on CT target scan[J]. Oncoradiology, 2025, 34(3): 258-263. DOI： 10.19732/j.cnki.2096-6210.2025.03.009.

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Preliminary study on the identification of benign and malignant lung nodules and prediction of pathological types using artificial intelligence software based on CT target scan

DOI：10.19732/j.cnki.2096-6210.2025.03.009