HEAL: Healthcare Emergency Assistants Leveraging Large Language Models.
Zihan Zhu|Qiongkai Xu|Amin Beheshti
| Anthology ID: | DBLP:conf/www/ZhuXB25 |
|---|---|
| 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: | 2959-2962 |
| URL: | https://doi.org/10.1145/3701716.3715181 |
| DOI: | https://doi.org/10.1145/3701716.3715181 |
| DBLP: | conf/www/ZhuXB25 |
| BibTeX: |
@inproceedings{zhu-2025-heal,
author = {Zihan Zhu and
Qiongkai Xu and
Amin Beheshti},
editor = {Guodong Long and
Michale Blumestein and
Yi Chang and
Liane Lewin-Eytan and
Zi Huang and
Elad Yom-Tov},
title = {{HEAL: Healthcare Emergency Assistants Leveraging Large Language Models}},
booktitle = {{Companion Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025 - 2 May 2025}},
pages = {2959--2962},
publisher = {ACM},
year = {2025},
url = {https://doi.org/10.1145/3701716.3715181},
doi = {https://doi.org/10.1145/3701716.3715181}
}