Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/73121, first published .
Artificial Intelligence Applications in Emergency Toxicology: Advancements and Challenges

Artificial Intelligence Applications in Emergency Toxicology: Advancements and Challenges

Artificial Intelligence Applications in Emergency Toxicology: Advancements and Challenges

Lorraine Pei Xian Yong   1, 2 * , MBBS, MMed ;   Joshua Yi Min Tung   3 * , MBBS, MPH ;   Nicole Mun Teng Cheung   1, 2 * , MBBS ;   Zi Yao Lee   1, 2 * , MBBS, MPH ;   Ee Yang Ng   1, 2 * , MBBS ;   Alexander Jet Yue Ng   1, 2 * , MBBS, MMed ;   Clement Kee Woon Lim   1, 2 * , MBBS, MMed ;   Yuru Boon   1, 2 * , MBBS, MMed ;   Daniel Yan Zheng Lim   3 * , MBBS, MTech ;   Gerald Gui Ren Sng   3 * , MBBS, MPH, MMed ;   Jonathan Zhe Ying Tang   1, 2 * , MBBS, MRCEM, MMed

1 Urgent Care Centre, Alexandra Hospital, Singapore, Singapore

2 Emergency Medicine Department, National University Hospital, Singapore, Singapore

3 Data Science and Artificial Intelligence Laboratory, Singapore General Hospital, Singapore, Singapore

*all authors contributed equally

Corresponding Author:

  • Lorraine Pei Xian Yong, MBBS, MMed
  • Emergency Medicine Department
  • National University Hospital
  • 5 Lower Kent Ridge Road
  • Singapore 119074
  • Singapore
  • Phone: 65 67725000
  • Email: lorraine_yong@nuhs.edu.sg