CT-Outcome (TrialBench v2)
Updated 2024 trial outcome benchmark with temporal splits.
Composite score: 73.4
Rubric (1–5 per criterion)
rigor
4/5
coverage
3/5
maintenance
4/5
adoption
2/5
quality
4/5
accessibility
5/5
industry_relevance
4/5
Metadata
Stages
Phase IIPhase III
Modalities
cross-modality
Task types
trial-outcome
License
MIT
First release
2024-07
Last updated
2025-03
Flags
none
Size & scope
- trials: 25000
Primary paper
Title
TrialBench: Multi-Modal Artificial Intelligence-Ready Clinical Trial Datasets
Authors
Chen J, Hu Y, Wang Y, et al.
Year
2024
DOI / arXiv
Citations
25
Links
- Official site: https://github.com/ML2Health/ML2ClinicalTrials
- GitHub: https://github.com/ML2Health/ML2ClinicalTrials
- Leaderboard: N/A
Hosted by (initiatives)
Experts (primary authors / maintainers)
Groups (host labs / companies / consortia)
Related benchmarks
Notes (honest caveats)
Temporal splits are key improvement.