Real‐world deployment and evaluation of <scp>PEri</scp> ‐operative <scp>AI CHatbot</scp> ( <scp>PEACH</scp> ): a large language model chatbot for peri‐operative medicine
PEACH is an accurate, adaptable tool that enhances consistency and efficiency in peri-operative decision-making. Future research should explore scalability across specialties and its impact on clinical outcomes.
Authors
- Aaron Kwang Yang Lee
- Hairil Rizal Abdullah (ORCID: https://orcid.org/0000-0003-1916-0832)
- Daniel Shu Wei Ting (ORCID: https://orcid.org/0000-0003-2264-7174)
- Jonathan Cheng
- Jacqueline Sim (ORCID: https://orcid.org/0000-0002-5764-6641)
- Kenny Loh
- Nan Liu (ORCID: https://orcid.org/0000-0003-1490-840X)
- Liyuan Jin (ORCID: https://orcid.org/0000-0001-6738-1424)
- Yuhe Ke (ORCID: https://orcid.org/0000-0001-7193-4749)
- Kabilan Elangovan
- Bee Suan Ong
- Chai Rick Soh (ORCID: https://orcid.org/0000-0001-8756-7971)
- Chin Yang Oh
Institutions
- SingHealth (SG)
- Singapore General Hospital (SG)
- Singapore National Eye Center (SG)
- Duke-NUS Medical School (SG)
- Open The Government (US)
Publication Details
- Journal
- Anaesthesia
- Published
- 2025-09-19
- DOI
- https://doi.org/10.1111/anae.16755
- Citations
- 2
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 1.31