In the current issue of the Korean Journal of Anesthesiology (KJA), prediction-related words such as impact, predict, assessing, indicator, association, and effect are included in the titles of clinical research papers. Ju et al. [1] reported that COVID-19 infections eight weeks preoperatively were associated with an increase in the 30-day postoperative mortality. In the study conducted by Park et al. [2], a machine learning model constructed using facial expressions was a superior predictor of severe postoperative pain (numeric rating scale [NRS] ≥ 7), outperforming models constructed from physiological signals. Jang et al. [3] reported that a frequency-domain analysis of photoplethysmography and arterial blood pressure may assess hemodynamic status requiring fluid or vasoactive inotropic therapy after congenital heart surgery. Kim et al. [4] reported that the development of ventricular-arterial decoupling is associated with poor postoperative outcomes after liver transplantation. Preoperative acute hyperglycemia was found to be associated with postoperative delirium in the study by Park et al. [5]. Finally, Lee et al. [6] reported that applying ultrafiltration improved clot firmness, with more pronounced improvement when pre-ultrafiltration maximum clot firmness-extrinsically activated test with tissue factor was reduced using cardiopulmonary bypass.