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Updated: Jun 25, 2026

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基于深度学习和机器学习模型,预测肺腺癌通过空气传播

Zengming Wang1, Lingxin Kong1, Bin Li1

  • 1Department of Thoracic Surgery, Hebei General Hospital, NO. 348 Heping West Road, Xinhua District, Shijiazhuang, Hebei, 050000, P.R. China.

Journal of cardiothoracic surgery
|August 14, 2025
PubMed
概括

一个新的机器学习模型准确地预测肺腺癌在手术前通过空气空间 (STAS) 传播. 这种放射学方法有助于对侵袭性肺腺癌的个性化患者管理.

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Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...