All Competitors

158138—

Peking University +2 othersFebruary 1, 2025data_augmentationdiffusionfoundation_model+9

Text-to-image diffusion model that generates synthetic medical images across imaging modalities and organs to augment scarce clinical training data.

Imaging

41Openness

319—

Computational Cell AnalyticsJanuary 20, 2025foundation_modelinteractive_annotationmedical_imaging+4

Segment Anything Model finetuned on diverse medical images, giving a reusable promptable checkpoint for interactive and automatic image segmentation.

Imaging

77Openness

686170548

Microsoft ResearchNovember 18, 2024foundation_modelmedical_imagingmultimodal+4

Biomedical imaging foundation model that segments, detects, and recognizes structures across nine modalities from natural language prompts.

Imaging

60Openness

5542—

Hong Kong Baptist University +1 otherMay 15, 2024foundation_modelmedical_imagingmixture_of_experts+3

Mixture-of-Experts foundation model for medical image segmentation that generalizes across imaging modalities and clinical centers.

Imaging

28Openness

561263—

Shanghai Jiao Tong University +1 otherAugust 4, 2023disease_diagnosisfoundation_modelgenerative+7

Radiology foundation model that reads interleaved 2D and 3D scans with text for diagnosis, visual question answering, and report generation.

ImagingLanguage model

84Openness

452618—

Stanford University +2 othersJuly 27, 2023few_shotin_context_learningmedical_imaging+6

Multimodal medical vision-language model for few-shot visual question answering, learning new imaging tasks from in-context examples at inference.

PathologyLanguage model

18Openness

588185—

MIT CSAIL +3 othersApril 12, 2023cnnfew_shot_learningfoundation_model+4

Medical image segmentation model that solves unseen segmentation tasks in context from a few labeled examples, with no retraining or fine-tuning.

Imaging

49Openness