| AI | Artificial intelligence |
| NOD | New-onset diabetes |
| PDAC | Pancreatic ductal adenocarcinoma |
| AJCC | American Joint Committee on Cancer |
| SV | Splenic vein |
| ACG | American College of Gastroenterology |
| AGA | American Gastroenterology Associations |
| DM | Diabetes mellitus |
| T2DM | Type 2 diabetes mellitus |
| NOH | New-onset hyperglycemia |
| PCD | Pancreatic cancer-associated diabetes |
| IGF | Insulin-like growth factor |
| IGFBP-2 | Insulin-like growth factor binding protein-2 |
| PAI-1 | Plasminogen activator inhibitor-1 |
| ML | Machine learning |
| DL | Deep learning |
| GB | Gradient boosting |
| SVM | Support vector machine |
| KNNs | K-nearest neighbors |
| NB | Naïve Bayes |
| ANNs | Artificial neural networks |
| ENDPAC | Enriching New-Onset Diabetes for Pancreatic Cancer |
| QALYs | Quality-adjusted life years |
| BMI | Body Mass Index |
| PPV | Positive predictive value |
| LDL | Low-density lipoprotein |
| CA19-9 | Carbohydrate antigen 19-9 |
| FDA | Food and Drug Administration |
| PPIs | Proton pump inhibitors |
| ALT | Alanine aminotransferase |
| LDA | Linear discriminant analysis |
| GBM | Gradient boosting machine |
| XGB | Extreme gradient boosting |
| LGBM | Light gradient boosting machine |
| RF | Random forest |
| RR | Relative risk |
| EV | Ensemble voting |
| ICD-10 | International Classification of Diseases Version 10 |
| ATC | Anatomical Therapeutic Chemical |
| MPL | Multi-perceptron classifier |
| SNP | Single nucleotide polymorphism |
| NPV | Negative predictive value |
| MMTT | Mixed meal tolerance test |
| OGTT | Oral glucose tolerance test |
| GDPR | General Data Protection Regulation |
| MHRA | Medicine and Healthcare Products Regulatory Agency |
| GMLP | Good Machine Learning Practice |
| XAI | Explainable AI |
| FL | Federated learning |
| SSL | Self-supervised learning |
| CT | Computed Tomography |
| EUS | Endoscopic ultrasound |
| CONSORT-AI | Consolidated Standards of Reporting Trials AI Extension |
| TRIPOD | Transparent Reporting of a multivariable prediction model for Individual Prognosis or Diagnosis |
| NFL | “No Free Lunch” (theorem) |