Codesota · Medical · Disease Classification · NIH ChestX-ray14Tasks/Medical/Disease Classification
Disease Classification · benchmark dataset · 2017 · EN

NIH Clinical Center Chest X-ray Dataset.

112,120 frontal-view chest X-ray images from 30,805 unique patients with 14 disease labels extracted using NLP from radiology reports. Foundational benchmark for chest X-ray AI.

Paper Download datasetSubmit a result
§ 01 · Leaderboard

Best published scores.

4 results indexed across 1 metric. Shaded row marks current SOTA; ties broken by submission date.


Primary
auroc · higher is better
auroc· primary
4 rows
#ModelOrgSubmittedPaper / codeauroc
01TorchXRayVisionOSSCohen LabDec 2025github-readme85.80
02CheXNetOSSStanford ML GroupDec 2025research-paper84.10
03DenseNet-121 (Chest X-ray)OSSResearchDec 2025research-paper82.60
04ResNet-50 (Chest X-ray)OSSResearchDec 2025research-paper80.40
Fig 2 · Rows sorted by score within each metric. Shaded row marks SOTA. Dates reflect model or paper release where available, otherwise the date Codesota accessed the source.
§ 03 · Progress

1 steps
of state of the art.

Each row below marks a model that broke the previous record on auroc. Intermediate submissions are kept in the leaderboard above; only SOTA-setting entries are re-listed here.

Higher scores win. Each subsequent entry improved upon the previous best.

SOTA line · auroc
  1. Dec 19, 2025TorchXRayVisionCohen Lab85.80
Fig 3 · SOTA-setting models only. 1 entries span Dec 2025 Dec 2025.
§ 06 · Contribute

Have a score that beats
this table?

Submit a checkpoint and a reproduction script. We will run it, publish the score, and — if it takes the top — annotate the step on the progress chart with your name.

Submit a result Read submission guide
What a submission needs
  • 01A public checkpoint or API endpoint
  • 02A reproduction script with frozen commit + seed
  • 03Declared evaluation environment (Python, deps)
  • 04One row per metric declared by this dataset
  • 05A contact so we can follow up on discrepancies