Table 4 Retrieval performance metrics across modalities and fusion methods

From: HONeYBEE: enabling scalable multimodal AI in oncology through foundation model-driven embeddings

Modality

Samples

P@5

P@10

P@20

Clustering

Retrieval

Failure%

     

AMI

AMI@10

 

Individual modalities

Clinical

10,857

0.976

0.964

0.947

0.702

0.868

3.6

Molecular

13,804

0.392

0.350

0.310

0.249

0.232

65.0

Radiology

1149

0.373

0.343

0.310

0.228

0.272

66.1

Pathology reports

10,857

0.746

0.703

0.651

0.341

0.585

29.7

Whole slide images

8060

0.155

0.143

0.132

0.056

0.041

85.7

Multimodal fusion

Concatenation

11,341

0.504

0.461

0.418

0.347

0.408

53.9

Mean pooling

11,341

0.492

0.446

0.403

0.336

0.382

55.4

Kronecker product

11,341

0.284

0.269

0.253

0.320

0.320

73.1

  1. Results show precision@k values, clustering and retrieval-based AMI, and failure rates for cancer-type similarity retrieval. Bold text: best performance and underline: second-best.