©The Author(s) 2025.
World J Gastroenterol. Dec 21, 2025; 31(47): 112921
Published online Dec 21, 2025. doi: 10.3748/wjg.v31.i47.112921
Published online Dec 21, 2025. doi: 10.3748/wjg.v31.i47.112921
Table 6 Summary of key studies of multimodal large language models in the field of gastrointestinal cancer
| Model | Year | Vision architecture | Vision dataset | WSIs | Text model | Text dataset | Parameters | Tissues | Generative | Open source link |
| PLIP[136] | 2023 | CLIP | OpenPath | 28K | CLIP | OpenPath | NA | 32 | Captioning | https://github.com/PathologyFoundation/plip |
| HistGen[137] | 2023 | DINOv2, ViT-L | Multiple | 55K | LGH Module | TCGA | Approximately 100M | 32 | Report generation | https://github.com/dddavid4real/HistGen |
| PathAlign[138] | 2023 | PathSSL | Custom | 350K | BLIP-2 | Diagnostic reports | Approximately 100M | 32 | Report generation | https://github.com/elonybear/PathAlign |
| CHIEF[139] | 2024 | CTransPath | 14 Sources | 60K | CLIP | Anatomical information | 27.5M, 63M | 19 | No | https://github.com/hms-dbmi/CHIEF |
| PathGen[140] | 2024 | LLaVA, CLIP | TCGA | 7K | CLIP | 1.6M pairs | 13B | 32 | WSI assistant | https://github.com/PathFoundation/PathGen-1.6M |
| PathChat[141] | 2024 | UNI | Multiple | 999K | LLaMa 2 | Pathology instructions | 13B | 20 | AI assistant | https://github.com/fedshyvana/pathology_mllm_training |
| PathAsst[142] | 2024 | PathCLIP | PathCap | 207K | Vicuna-13B | Pathology instructions | 13B | 32 | AI assistant | https://github.com/superjamessyx/Generative-Foundation-AI-Assistant-for-Pathology |
| ProvGigaPath[143] | 2024 | ViT | Prov-Path | 171K | OpenCLIP | 17K Reports | 1135 | 31 | No | https://github.com/prov-gigapath/prov-gigapath |
| TITAN[144] | 2024 | ViT | Mass340K | 336K | CoCa | Medical reports | Approximately 5B | 20 | Report generation | https://github.com/your-repo/TITAN |
| CONCH[145] | 2024 | ViT | Multiple | 21K | GPTstyle | 1.17M pairs | NA | 19 | Captioning | http://github.com/mahmoodlab/CONCH |
| SlideChat[146] | 2024 | CONCHLongNet | TCGA | 4915 | Qwen2.5-7B | Slide Instructions | 7B | 10 | WSI assistant | https://github.com/uni-medical/SlideChat |
| PMPRG[147] | 2024 | MR-ViT | Custom | 7422 | GPT-2 | Pathology Reports | NA | 2 | Multi-organ report | https://github.com/hvcl/Clinical-grade-PathologyReport-Generation |
| MuMo[148] | 2024 | MnasNet | Custom | 429 | Transformer | PathoRadio Reports | NA | 1 | No | https://github.com/czifan/MuMo |
| ConcepPath[149] | 2024 | ViT-B, CONCH | Quilt-1M | 2243 | CLIPGPT | PubMed | Approximately 187M | 3 | No | https://github.com/HKU-MedAI/ConcepPath |
| GPT-4V[150] | 2024 | Phikon ViT-B | CRC-7K, MHIST etc. | 338K | GPT-4 | NA | 40M | 3 | Report generation | https://github.com/Dyke-F/GPT-4V-In-Context-Learning |
| MINIM[151] | 2024 | Stable diffusion | Multiple | NA | BERT, CLIP | Multiple | NA | 6 | Report generation | https://github.com/WithStomach/MINIM |
| PathM3[152] | 2024 | ViT-g/14 | PatchGastric | 991 | FlanT5XL | PatchGastric | NA | 1 | WSI assistant | NA |
| FGCR[153] | 2024 | ResNet50 | Custom, GastrADC | 3598, 991 | BERT | NA | 9.21 Mb | 6 | Report generation | https://github.com/hudingyi/FGCR |
| PromptBio[154] | 2024 | PLIP | TCGA, CPTAC | 482, 105 | GPT-4 | NA | NA | 1 | Report generation | https://github.com/DeepMed-Lab-ECNU/PromptBio |
| HistoCap[155] | 2024 | ViT | NA | 10K | BERT, BioBERT | GTEx datasets | NA | 40 | Report generation | https://github.com/ssen7/histo_cap_transformers |
| mSTAR[156] | 2024 | UNI | TCGA | 10K | BioBERT | Pathology Reports 11K | NA | 32 | Report generation | https://github.com/Innse/mSTAR |
| GPT-4 Enhanced[157] | 2025 | CTransPath | TCGA | NA | GPT-4 | ASCO, ESMO, Onkopedia | NA | 4 | Recommendation generation | https://github.com/Dyke-F/LLM_RAG_Agent |
| PRISM[158] | 2025 | Virchow, ViT-H | Virchow dataset | 587K | BioGPT | 195K Reports | 632M | 17 | Report generation | NA |
| HistoGPT[159] | 2025 | CTransPath, UNI | Custom | 15K | BioGPT | Pathology Reports | 30M to 1.5B | 1 | WSI assistant | https://github.com/marrlab/HistoGPT |
| PathologyVLM[160] | 2025 | PLIP, CLIP | PCaption-0.8M | NA | LLaVA | PCaption-0.5M | NA | Multi | Report generation | https://github.com/ddw2AIGROUP2CQUP/PA-LLaVA |
| MUSK[161] | 2025 | Transformer | TCGA | 33K | Transformer | PubMed Central | 675M | 33 | Question answering | https://github.com/Lilab-stanford/MUSK |
- Citation: Shi L, Huang R, Zhao LL, Guo AJ. Foundation models: Insights and implications for gastrointestinal cancer. World J Gastroenterol 2025; 31(47): 112921
- URL: https://www.wjgnet.com/1007-9327/full/v31/i47/112921.htm
- DOI: https://dx.doi.org/10.3748/wjg.v31.i47.112921