| PPRC | Perioperative pulmonary and respiratory complication |
| PPC | Postoperative pulmonary complication |
| PE | Pulmonary embolism |
| VTE | Venous thromboembolism |
| DVT | Deep vein thrombosis |
| PRF | Postoperative respiratory failure |
| POH | Perioperative hypoxemia |
| ARDS | Acute respiratory distress syndrome |
| AI | Artificial intelligence |
| ML | Machine learning |
| NLP | Natural language processing |
| TIER | Tiered framework for evaluating outcome ascertainment quality |
| ACS-NSQIP | American College of Surgeons National Surgical Quality Improvement Program |
| STEP | Standardized Endpoints in Perioperative Medicine |
| AUROC | Area under the receiver operating characteristic curve |
| AUPRC | Area under the precision-recall curve |
| ICD | International Classification of Diseases |
| EHR | Electronic health record |
| TRIPOD | Transparent Reporting of a multivariable prediction model for Individual Prognosis or Diagnosis |
| PROBAST | Prediction model Risk-Of-Bias Assessment Tool |
| LR | Logistic regression |
| IEEE | Institute of Electrical and Electronics Engineers |
| PRISMA | Preferred Reporting Items for Systematic Reviews and Meta-Analyses |
| OMOP CDM | Observational Medical Outcomes Partnership Common Data Model |
| LLMs | Large language models |