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Reducing Bias in the Evaluation of Robotic Surgery for Lung Cancer Through Machine Learning
0
Zitationen
4
Autoren
2025
Jahr
Abstract
The application of machine learning to adjust for selection bias allowed for better control of confounding factors in the analysis of the effect of RAS on 90-day mortality. Our results suggest a potential benefit of robotic surgery compared to thoracotomy, although further studies are needed to confirm these findings.
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