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Classification on CheXpert (test)

96.72AUC ROCEviScreen
31.387248.348665.3182.2714Jul 23, 2024Nov 10, 2024Mar 1, 2025Jun 20, 2025Oct 9, 2025Jan 28, 2026May 19, 2026

Evaluation results

MethodLinks
EviScreenvariant=Ours2026.0596.72——————————94.7184.0474.2668.7270.59
FM2026.0595.6——————————91.8179.7967.666057.41
CIPL2026.0592.57——————————84.668.0948.7249.1547.29
EviScreenvariant=Ours-TF2026.0592.3——————————82.2266.66055.7448.91
CARZeroZero-shot=true, Venue=CVPR’242026.0592.3———————————————
CoNNSZero-shot=true, Venue=Ours2026.0592———————————————
M&MTraining Data Ratio=100%, Evaluation Protocol=fine-tuning2024.0790.88———————————————
KADZero-shot=true, Venue=Nat. Commun.’232026.0590.5———————————————
M&MTraining Data Ratio=10%, Evaluation Protocol=fine-tuning2024.0790.02———————————————
RadZeroZero-shot=true, Venue=NeurIPS’252026.0590———————————————
CheXWorldPre-train Data=X-rays (0.5M), Backbone=ViT-B2025.0489.63———————————————
MAEPre-train Data=X-rays (0.5M), Backbone=ViT-B2025.0489.3———————————————
SimMIMPre-train Data=IN-21k (12M) & X-rays (0.9M), Backbone=Swin-B2025.0489.14———————————————
Rad-DINOPre-train Data=LVD (142M) & X-rays (public+private), Backbone=ViT-B2025.0488.94———————————————
Adam-v2Pre-train Data=IN-21k (12M) & X-rays (0.9M), Backbone=ConvNeXt-B2025.0488.9———————————————
MedKLIPTraining Data Ratio=100%, Evaluation Protocol=fine-tuning2024.0788.68———————————————
PRIORTraining Data Ratio=100%, Evaluation Protocol=fine-tuning2024.0788.61———————————————
M&MTraining Data Ratio=1%, Evaluation Protocol=fine-tuning2024.0788.45———————————————
BioViLTraining Data Ratio=100%, Evaluation Protocol=fine-tuning2024.0788.41———————————————
GLORIATraining Data Ratio=100%, Evaluation Protocol=fine-tuning2024.0788.34———————————————
PRIORTraining Data Ratio=10%, Evaluation Protocol=fine-tuning2024.0788.31———————————————
LOVTTraining Data Ratio=100%, Evaluation Protocol=fine-tuning2024.0788.27———————————————
ConVIRTTraining Data Ratio=100%, Evaluation Protocol=fine-tuning2024.0788.21———————————————
MedKLIPTraining Data Ratio=10%, Evaluation Protocol=fine-tuning2024.0788.14———————————————
LVM-MedPre-train Data=Medical (1.3M), Backbone=ViT-B2025.0488.07———————————————
LOVTTraining Data Ratio=10%, Evaluation Protocol=fine-tuning2024.0788.05———————————————
SimCLRTraining Data Ratio=100%, Evaluation Protocol=fine-tuning2024.0787.97———————————————
MedKLIPZero-shot=true, Venue=ICCV’232026.0587.9———————————————
BEITPre-train Data=IN-21k (12M), Backbone=ViT-B2025.0487.77———————————————
ConVIRTTraining Data Ratio=10%, Evaluation Protocol=fine-tuning2024.0787.58———————————————
BioViLTraining Data Ratio=10%, Evaluation Protocol=fine-tuning2024.0787.56———————————————
GLORIATraining Data Ratio=10%, Evaluation Protocol=fine-tuning2024.0787.4———————————————
MoCoTraining Data Ratio=100%, Evaluation Protocol=fine-tuning2024.0787.24———————————————
MoCo-v3Pre-train Data=IN-1k (1.3M), Backbone=ViT-B2025.0487.12———————————————
DINOPre-train Data=IN-1k (1.3M), Backbone=ViT-B2025.0487.01———————————————
SimCLRTraining Data Ratio=10%, Evaluation Protocol=fine-tuning2024.0786.74———————————————
MoCoTraining Data Ratio=10%, Evaluation Protocol=fine-tuning2024.0786.27———————————————
MedKLIPTraining Data Ratio=1%, Evaluation Protocol=fine-tuning2024.0786.24———————————————
PRIORTraining Data Ratio=1%, Evaluation Protocol=fine-tuning2024.0786.16———————————————
DRA2026.0585.63——————————70.6445.9623.6218.7217.63
LOVTTraining Data Ratio=1%, Evaluation Protocol=fine-tuning2024.0785.13———————————————
ConVIRTTraining Data Ratio=1%, Evaluation Protocol=fine-tuning2024.0785.02———————————————
GLORIATraining Data Ratio=1%, Evaluation Protocol=fine-tuning2024.0783.61———————————————
ScratchPre-train Data=-, Backbone=ViT-B2025.0480.78———————————————
BioViLTraining Data Ratio=1%, Evaluation Protocol=fine-tuning2024.0780.77———————————————
BioViL-TZero-shot=true, Venue=CVPR’232026.0578.9———————————————
MoCoTraining Data Ratio=1%, Evaluation Protocol=fine-tuning2024.0778———————————————
BiomedCLIPZero-shot=true, Venue=NEJM AI’242026.0567.7———————————————
SimCLRTraining Data Ratio=1%, Evaluation Protocol=fine-tuning2024.0767.41———————————————
PatchCorefoundation models=same as Ours2026.0567.41——————————38.1523.1916.8115.5312.61
EDC2026.0565.26——————————33.8825.1116.8114.8912.52
NFM-DRA2026.0563.94——————————34.2325.1116.1713.6210.54
VILA-M3-13BType=13B, #Params=13B, Expert Model Usage=With Expert2024.1161.562.87639.467.162.5——————————
VILA-M3-8BType=8B, #Params=8B, Expert Model Usage=Without Expert2024.1161.463.563.235.173.171.9——————————
VILA-M3-40BType=40B, #Params=40B, Expert Model Usage=With Expert2024.116163.472.138.463.767.4——————————
VILA-M3-3BType=3B, #Params=3B, Expert Model Usage=With Expert2024.1160.761.271.53563.772.4——————————
VILA-M3-8BType=8B, #Params=8B, Expert Model Usage=With Expert2024.1160.562.770.636.76864.5——————————
VILA-M3-40BType=40B, #Params=40B, Expert Model Usage=Without Expert2024.1159.457.270.432.668.368.7——————————
PatchCorefoundation models=standard2026.0557.92——————————30.6122.1311.4911.068.57
VILA-M3-3BType=3B, #Params=3B, Expert Model Usage=Without Expert2024.1157.45969.32471.862.9——————————
VILA-M3-13BType=13B, #Params=13B, Expert Model Usage=Without Expert2024.1155.861.971.120.565.460.2——————————
SimpleNet2026.0555.24——————————29.911.499.158.947.58
Torch Xray VisionType=(ensemble), #Params=(ensemble), Expert Model Usage=With Expert2024.1151.561.563.828.650.552.9——————————
SCRD4AD2026.0551.5——————————27.7412.555.535.534.61
Med-GeminiType=1.5T, #Params=1.5T, Expert Model Usage=Without Expert2024.1148.449.7722332.764.4——————————
GPT-4oType=Unknown, #Params=Unknown, Expert Model Usage=Without Expert2024.1133.931.849.613.837.236.8——————————
CARZeroSetting=Zero-shot2026.01——————92.349.190.3———————
CARZeroSetting=Bi-MCQ-Fine-tuning2026.01——————89.689.689.8———————
CRTGroup Info (Train/Val)=✗/★2026.02—————————7479.1—————
CRT*Group Info (Train/Val)=✗/★, Group labels usage in training=not used2026.02—————————7479.1—————
CVaRDROGroup Info (Train/Val)=✗/★2026.02—————————50.273.7—————
CVaRDRO*Group Info (Train/Val)=✗/★, Group labels usage in training=not used2026.02—————————50.273.7—————
DFRGroup Info (Train/Val)=✗/✓✓, Group labels usage in training=used2026.02—————————71.778.2—————
ERMGroup Info (Train/Val)=✗/★2026.02—————————41.788.6—————
ERM*Group Info (Train/Val)=✗/★, Group labels usage in training=not used2026.02—————————41.788.6—————
Group DROGroup Info (Train/Val)=✓/★, Group labels usage in training=used2026.02—————————74.578.9—————
IRM*Group Info (Train/Val)=✓/★, Group labels usage in training=used2026.02—————————34.489.8—————
JTTGroup Info (Train/Val)=✗/★, Group labels usage in training=not used2026.02—————————60.475.2—————
JTTGroup Info (Train/Val)=✗/★2026.02—————————60.475.2—————
KADSetting=Zero-shot2026.01——————76.223.959———————
KADSetting=Bi-MCQ-Fine-tuning2026.01——————77.175.276.2———————
LEIAGroup Info (Train/Val)=✗/★, Group labels usage in training=not used2026.02—————————75.279.6—————
LEIAGroup Info (Train/Val)=✗/★2026.02—————————75.279.6—————
LISAGroup Info (Train/Val)=✓/★, Group labels usage in training=used2026.02—————————75.679.2—————
MedKLIPSetting=Zero-shot2026.01——————78.127.557.4———————
MedKLIPSetting=Bi-MCQ-Fine-tuning2026.01——————7776.276.8———————
ReWeightCRTGroup Info (Train/Val)=✗/★2026.02—————————73.979—————
ReWeightCRT*Group Info (Train/Val)=✗/★, Group labels usage in training=not used2026.02—————————73.979—————