Leveraging Prompt Engineering with Lightweight Large Language Models to Label and Extract Clinical Information from Radiology Reports.
Chayan Mondal|Duc-Son Pham|Ashu Gupta|Tele Tan|Tom Gedeon
| Anthology ID: | DBLP:conf/www/Mondal0GTG25 |
|---|---|
| Volume: | Companion Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025 - 2 May 2025 |
| Year: | 2025 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 1616-1625 |
| URL: | https://doi.org/10.1145/3701716.3717808 |
| DOI: | https://doi.org/10.1145/3701716.3717808 |
| DBLP: | conf/www/Mondal0GTG25 |
| BibTeX: |
@inproceedings{mondal-2025-leveraging,
author = {Chayan Mondal and
Duc-Son Pham and
Ashu Gupta and
Tele Tan and
Tom Gedeon},
editor = {Guodong Long and
Michale Blumestein and
Yi Chang and
Liane Lewin-Eytan and
Zi Huang and
Elad Yom-Tov},
title = {{Leveraging Prompt Engineering with Lightweight Large Language Models to Label and Extract Clinical Information from Radiology Reports}},
booktitle = {{Companion Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025 - 2 May 2025}},
pages = {1616--1625},
publisher = {ACM},
year = {2025},
url = {https://doi.org/10.1145/3701716.3717808},
doi = {https://doi.org/10.1145/3701716.3717808}
}