Table 4 Average diagnostic performance of inexperienced pathologists with/without pathomics assisted.

From: Identifying invasiveness to aid lung adenocarcinoma diagnosis using deep learning and pathomics

Model name

ACC

AUC

95% CI

SE

SP

PPV

NPV

Cohort

Pathomics

0.817

0.897

0.8572–0.9373

0.795

0.865

0.925

0.667

Training

Pathomics

0.814

0.807

0.6892–0.9239

0.900

0.632

0.837

0.750

Test

Intermediate

0.716

0.675

0.6168–0.7338

0.788

0.562

0.799

0.606

Training

Intermediate

0.695

0.656

0.5324–0.7799

0.765

0.547

0.785

0.615

Test

Intermediate+AI

0.799

0.760

0.7054–0.8138

0.871

0.649

0.850

0.738

Training

Intermediate+AI

0.807

0.769

0.6618–0.7690

0.875

0.663

0.855

0.757

Test

Junior

0.550

0.539

0.4705–0.6083

0.568

0.511

0.709

0.361

Training

Junior

0.566

0.547

0.4103–0.6845

0.600

0.495

0.714

0.373

Test

Junior+AI

0.773

0.772

0.7144–0.8302

0.774

0.770

0.876

0.622

Training

Junior+AI

0.797

0.759

0.6447–0.8729

0.865

0.653

0.847

0.700

Test