This study examines the external validation of the RESECT-90 model, designed to predict 90-day mortality in lung resection patients. Analyzing data from 12,241 patients across 12 UK centers, the study found an overall 90-day mortality rate of 2.9 percent. After recalibrating the model to address calibration heterogeneity, the model demonstrated an area under the curve (AUC) of 0.74, indicating acceptable discrimination, while calibration metrics improved significantly. 
 
This validation is important for the cardiothoracic surgery specialty, as it confirms the RESECT-90 model's utility in clinical practice and enhances risk assessment for lung resection patients. The findings support the adoption of reliable prediction models that can aid in clinical decision-making, ultimately improving patient outcomes and surgical planning in thoracic surgery.