Foundation Model Library
These models reside within the HOPPR™ AI Foundry
HOPPR™ MC Chest Radiography Foundation Model
~12.2M
Images
~6.1M
Studies
0.91
Median ROC-AUC across findings
Modality: Chest X-ray (frontal PA/AP views)
Anatomy: Chest - Lungs, heart, pleura, mediastinum, ribs, chest wall
Model Type: Vision Transformer (ViT) Foundation Model
Task: Classification fine-tuning with model score output. Internal validation on 24 findings, range 0.77–0.99 AUC.
Availability: Fine-tuning and inference via the HOPPR™ AI Foundry and/or Forward Deployed Services
HOPPR™ EB 2D Mammography Foundation Model
~24M
Images
~4M
Studies
0.9
ROC-AUC Cancer
Modality: 2D Mammography (FFDM and/or 2D synthetic | CC and MLO views)
Anatomy: Breast (bilateral; left and right)
Model Type: Vision Transformer (ViT) Foundation Model with LoRA adapters
Task: Classification (cancer, density, pacemaker) Internal validation: ROC-AUC 0.90 (cancer), 0.94 (density), 0.99 (pacemaker). Supports laterality labeling and includes 5,400 pathology-proven studies.
Availability: Fine-tuning and inference via the HOPPR™ AI Foundry and/or Forward Deployed Services
HOPPR™ MC Chest Radiography Narrative Foundation Model
Modality: Chest X-ray (frontal PA/AP, lateral)
Anatomy: Chest - Lungs, heart, pleura, mediastinum, ribs, chest wall, and devices (pacemaker, tubes)
Model Type: VLM – Vit encoder + Q-Former + modernBERTdecoder
Description: Generates descriptive structured textual language outputs derived from chest radiography representations for research, development, and evaluation workflows.
Availability: Gain model access through HOPPR Forward Deployed Services and our Foundry API to run inference and test outputs against your data. Work with FDS to make targeted modifications scoped to your use cases and requirements.
3rd Party Models Available for Inference via the Foundry - Upon Request (Fine-tune with FDS)
CheXagent 2-3b srrg impression: Multimodal VLM
Modality: Chest X-ray (frontal AP/PA Lateral Optional)
Anatomy: Chest – lungs, heart, pleura, mediastinum, ribs, chest walls
Availability: Available for inference via AI Foundry
Details: findings card and impressions card
MedGemma 4B (Google): VLM
Modality: Chest X-ray, CT, MRI, histopathology, fundus, dermatology
Anatomy: Multi-organ, general medical imaging
Availability: Available for inference via AI Foundry
Details: documentation
MedImageInsights (Microsoft): Vision-language embedding model
Modality: X-ray, CT, MRI, Mammo, ultrasound, OCT, histopathology, fundus, dermatology
Anatomy: multi-organ, general medical imaging
Availability: Available for inference via AI Foundry
Details: model card
NVIDIA NV-Reason CXR 3B: parameter VLM
Modality: Chest X-ray
Anatomy:Chest – lungs, heart pleura, mediastinum, ribs, chest wall
Availability:Available for inference via AI Foundry
Details: model card
NVIDIA NV-Generate CT: 3D latent diffusion model
Modality: CT : full body up to 127 anatomical classes
Anatomy: Full body (up to 127 anatomical classes)
Availability: Available for inference via AI Foundry
Details: model card
NVIDIA NV-Generate MR: 3D latent diffusion model
Modality: MRI T1, T2, FLAIR, SWI
Anatomy: Brain, abdomen, cardiovascular, respiratory
Availability: Available for inference via AI Foundry
Details: model card
RadFM: Multimodal VLM
Modality: 2D/3D radiology: X-ray, CT, MRI, and others
Anatomy: Brain, head/neck, thorax, spine, abdomen, pelvis, upper and lower limbs
Availability: Available for inference via AI Foundry
Details: project page
Documentation on third-party models is available on their respective websites.