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World J Crit Care Med. Sep 9, 2025; 14(3): 108272
Published online Sep 9, 2025. doi: 10.5492/wjccm.v14.i3.108272
Table 2 Summary of the various artificial intelligence models to predict weaning failure
Ref.
Sample size
Performance metrics
Technique used
Characteristics involved
Primary outcome
Hsieh et al[51]3602 patientsAUC-0.85, Accuracy-94%, Precision-0.939, F1-0.867, Recall-0.822K-fold cross-validationAge, gender, cause of intubation, MAPs, MIP, APACHE II scores, GCSSuccessful extubation from MV
Huang et al[52]233 patientsAUC-0.97, Accuracy-94%, F1 score-95.8%, Sensitivity-87.5%, Specificity-96.7%Logistic regression, Random Forest, and support vector machine modelGender, APACHE II score, hospital stay duration in days, MV duration in daysSuccessful extubation
Lin et al[53]Part 1: 2405; Part 2: 131Try weaning phase: AUC-0.860, Accuracy-0.768, Sensitivity-0.788, Specificity-0.733; Extubation phase: AUC-0.923, Accuracy-0.842, Sensitivity-0.842, Specificity-0.842Logistic regression, RF, SVM, KNN, Light GBM, MLP, XGBoostAge, APACHE II score, TISS score, FiO2, PEEP, RR, MV, Ppeak, SpO2, HR, BPSuccessful extubation, MV time, ICU LOS, Hospital LOS
Liu et al[54]Stage 1: 5873 patients; Stage 2: 4172 patientsStage 1: AUC-0.860, Accuracy-0.768, Sensitivity-0.788, Specificity-0.733; Stage 2: AUC-0.923, Accuracy-0.842, Sensitivity-0.842, Specificity-0.842Logistic regression, RF, SVM, KNN, Light GBM, MLP, XGBoost25 features in stage 1, 20 features in stage 2-common variables-APACHE II scores, TISS score, FiO2, PEEP, MV, Ppeak, SpO2, HR, BPWeaning of MV patients
Xu et al[55]487 patientsAUC-0.805, Accuracy-0.748, Sensitivity-0.767, Specificity-0.676, Recall-0.888Logistic regression, RF, SVM, Light GBM, XGBoostRR, SBT, APACHE II score, GCS, HbWeaning of MV patients