Stanford Healthcare's radiology AI

web

stanfordmlgroup.github.io·stanfordmlgroup.github.io/projects/chexpert/

CheXpert is a benchmark medical imaging dataset relevant to AI safety discussions around high-stakes deployment, human-AI interaction in clinical settings, and the challenges of uncertainty handling in AI decision-making systems.

Metadata

Importance: 45/100tool pagedataset

Summary

CheXpert is a large-scale chest X-ray dataset developed by Stanford ML Group containing over 224,000 radiographs from 65,000 patients, designed to train and evaluate AI models for automated radiology diagnosis. The project includes a labeling tool that extracts findings from radiology reports and handles label uncertainty, and benchmarks AI performance against radiologists.

Key Points

•Contains 224,316 chest radiographs from 65,240 patients with labels for 14 clinically significant observations
•Introduces uncertainty labels to handle ambiguous or missing findings in radiology reports, a key challenge in medical AI
•Demonstrates AI models achieving radiologist-level performance on certain chest pathology detection tasks
•Provides a public leaderboard enabling reproducible benchmarking of medical imaging AI systems
•Highlights human-AI collaboration context: AI assists radiologists rather than replacing them, relevant to deployment safety

Cited by 1 page

Page	Type	Quality
AI-Human Hybrid Systems	Approach	91.0

Cached Content Preview

HTTP 200Fetched Mar 20, 20261 KB

# 404

**File not found**

The site configured at this address does not
contain the requested file.


If this is your site, make sure that the filename case matches the URL
as well as any file permissions.

For root URLs (like `http://example.com/`) you must provide an
`index.html` file.


[Read the full documentation](https://help.github.com/pages/)
for more information about using **GitHub Pages**.


[GitHub Status](https://githubstatus.com/) —
[@githubstatus](https://twitter.com/githubstatus)

[![](<Base64-Image-Removed>)](https://stanfordmlgroup.github.io/)[![](<Base64-Image-Removed>)](https://stanfordmlgroup.github.io/)

Resource ID: 8e73f0ed690073e9 | Stable ID: NWUyODE1MW