Artificial Intelligence for Language Translation-Reference-Cited by-同舟云学术

Artificial Intelligence for Language Translation

Published:2024-09-12 Issue: Volume: Page:
ISSN:0098-7484
Container-title:JAMA
language:en
Short-container-title:JAMA

Author:

Lion K. Casey¹²,Lin Yu-Hsiang³⁴,Kim Theresa⁴⁵

Affiliation:

1. Center for Diversity and Health Equity, Seattle Children’s Hospital, Seattle, Washington

2. Department of Pediatrics, University of Washington School of Medicine, Seattle

3. Department of Information Technology, Seattle Children’s Hospital, Seattle, Washington

4. Department of Biomedical Informatics and Medical Information, University of Washington School of Medicine, Seattle

5. Department of Otolaryngology—Head & Neck Surgery, University of Washington School of Medicine, Seattle

Abstract

This Viewpoint discusses the challenges to implementing artificial intelligence–based translation in clinical settings and what health care organizations can do to mitigate these challenges.

Publisher

American Medical Association (AMA)

Link

https://jamanetwork.com/journals/jama/articlepdf/2823653/jama_lion_2024_vp_240103_1725566070.39491.pdf

Reference7 articles.

1. Association between parent comfort with English and adverse events among hospitalized children.;Khan;JAMA Pediatr,2020

2. The association of limited English proficiency with morbidity and mortality after trauma.;Castro;J Surg Res,2022

3. Association of English language proficiency with hospitalization cost, length of stay, disposition location, and readmission following total joint arthroplasty.;Manuel;JAMA Netw Open,2022

4. The utility of ChatGPT as a generative medical translator.;Grimm;Eur Arch Otorhinolaryngol

5. Performance of ChatGPT and Google Translate for pediatric discharge instruction translation.;Brewster;Pediatrics,2024