Causal Discovery in Observational Medical Research: Scoping Review
This review underscores the growing application of causal discovery algorithms in medical research while also highlighting challenges such as the lack of standardized validation frameworks and persistent confounding. Future efforts must focus on developing evaluation standards and fostering interdisciplinary collaboration to translate these powerful computational techniques into reliable tools for medical research and practice.
Authors
- Xia Yang (ORCID: https://orcid.org/0000-0002-5388-0211)
- Zi-Hao Huang
- Tian Luo (ORCID: https://orcid.org/0009-0007-0760-6039)
- Jiali Mo
- Jie Kuang
- Hailin Ma
- Jingkun Li
- Zuting Liu
Institutions
- Nanchang University (CN)
- Harbin Medical University (CN)
Publication Details
- Journal
- JMIR Medical Informatics
- Published
- 2026-03-13
- DOI
- https://doi.org/10.2196/82499
- Primary Topic
- Advanced Causal Inference Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00