| AI | artificial intelligence |
| AUC | area under the curve |
| Bi-LSTM | bidirectional long short-term memory |
| CAD | computer-aided detection |
| CNN | convolutional neural network |
| CR | complete response |
| CT | computed tomography |
| DL | deep learning |
| DSC | dice similarity coefficient |
| DWI | diffusion-weighted imaging |
| FDA | Food and Drug Administration |
| GPT | Generative Pre-trained Transformer |
| HD | Hausdorff distance |
| ICC | intraclass correlation coefficients |
| LLM | large language models |
| MeSH | Medical Subject Headings |
| ML | machine learning |
| MM | metastatic melanoma |
| MRI | magnetic resonance imaging |
| NED | no evidence of disease |
| NLP | natural language processing |
| NPC | nasopharyngeal carcinoma |
| NR | not reported |
| PACS | Picture Archiving and Communication System |
| PD | progressive disease |
| PR | partial response |
| PRISMA | Preferred Reporting Items for Systematic Reviews and Meta-Analyses |
| QUADAS-2 | Quality Assessment of Diagnostic Accuracy Studies 2 |
| RAG | retrieval-augmented generation; |
| RECIST | Response Evaluation Criteria in Solid Tumors |
| SD | stable disease |
| TRE | treatment response evaluation |
| VS | volumetric similarity |