A curated list of Natural Language Processing (NLP) research papers in the field of Evidence-Based Medicine (EBM).
This list is based on the scoping review “Natural Language Processing in Support of Evidence-Based Medicine: A Scoping Review” (ACL 2025 submission), which surveyed 129 peer-reviewed publications from 2019–2024.
The growth of medical literature demands automated tools to support clinicians in searching, appraising, synthesizing, and applying evidence in clinical practice. NLP is at the core of this transformation.
Here is the Markdown table ordered by year (from latest to earliest):
If you find our work helpful, please cite the following.
Zihan Xu, Haotian Ma, Yihao Ding, Gongbo Zhang, Chunhua Weng, and Yifan Peng.
2025. Natural Language Processing in Support of Evidence-based Medicine: A
Scoping Review. In Findings of the Association for Computational Linguistics:
ACL 2025, pages 21421–21443, Vienna, Austria. Association for Computational
Linguistics.
@inproceedings{xu-etal-2025-natural,
title = "Natural Language Processing in Support of Evidence-based Medicine: A Scoping Review",
author = "Xu, Zihan and
Ma, Haotian and
Ding, Yihao and
Zhang, Gongbo and
Weng, Chunhua and
Peng, Yifan",
booktitle = "Findings of the Association for Computational Linguistics: ACL 2025",
month = jul,
year = "2025",
address = "Vienna, Austria",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2025.findings-acl.1103/",
pages = "21421--21443",
}
This project was sponsored by the National Library of Medicine grant R01LM009886, R01LM014344, and R01LM014573.