Article

Interpretable Machine Learning and Point-of-Care Digital Risk Stratification for Pneumothorax Following Lung Tumor Ablation: A Multicenter Validation Study

2026-08-20

Abstract excerpt

<title>Abstract</title> <p>Pneumothorax requiring chest tube drainage complicates 10% to 15% of percutaneous lung tumor ablation procedures. The current lack of individualized risk prediction necessitates uniform, reactive post-procedural surveillance, which fails to optimize healthcare resources. To address this, we developed and externally validated a parsimonious machine learning framework utilizing eight rout...

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Literature Corpus work: 4fc3c6fe-f6ca-593f-9826-b4382d7c5ce6
DOI: 10.21203/rs.3.rs-10601973/v1

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