Development and testing of a multi-lingual Natural Language Processing-based deep learning system in 10 languages for COVID-19 pandemic crisis: A multi-center study.

Journal: Frontiers in public health
Published Date: Feb 13, 2023

Abstract

PURPOSE: The COVID-19 pandemic has drastically disrupted global healthcare systems. With the higher demand for healthcare and misinformation related to COVID-19, there is a need to explore alternative models to improve communication. Artificial Intelligence (AI) and Natural Language Processing (NLP) have emerged as promising solutions to improve healthcare delivery. Chatbots could fill a pivotal role in the dissemination and easy accessibility of accurate information in a pandemic. In this study, we developed a multi-lingual NLP-based AI chatbot, DR-COVID, which responds accurately to open-ended, COVID-19 related questions. This was used to facilitate pandemic education and healthcare delivery.

Authors

  • Lily Wei Yun Yang
    NUS Yong Loo Lin School of Medicine, Singapore.
  • Wei Yan Ng
    Duke-NUS Medical School, National University of Singapore.
  • Xiaofeng Lei
    Institute of High Performance Computing, Agency for Science, Technology and Research (A*STAR), Singapore.
  • Shaun Chern Yuan Tan
    Singapore National Eye Centre, Singapore Eye Research Institute, Singapore.
  • Zhaoran Wang
    Duke-National University of Singapore Medical School.
  • Ming Yan
  • Mohan Kashyap Pargi
    Institute of High Performance Computing, Agency for Science, Technology and Research (ASTAR), Singapore, Singapore.
  • Xiaoman Zhang
    Department of Neurology, The First Hospital of Hebei Medical University, Shijiazhuang, Hebei, China.
  • Jane Sujuan Lim
    Singapore National Eye Center, Singapore Eye Research Institute, Singapore, Singapore.
  • Dinesh Visva Gunasekeran
    Singapore Eye Research Institute (SERI), Singapore.
  • Franklin Chee Ping Tan
    Division of Digital Strategy Office, Singapore Health Services, Singapore, Singapore.
  • Chen Ee Lee
    Division of Digital Strategy Office, Singapore Health Services, Singapore, Singapore.
  • Khung Keong Yeo
    Department of Cardiology, National Heart Centre Singapore, Singapore.
  • Hiang Khoon Tan
    National Cancer Centre Singapore, SingHealth, Singapore tan.h.k@nccs.com.sg.
  • Henry Sun Sien Ho
    Department of Urology, Singapore General Hospital, Singapore.
  • Benedict Wee Bor Tan
    Division of Digital Strategy Office, Singapore Health Services, Singapore, Singapore.
  • Tien Yin Wong
    Singapore National Eye Center, Duke-National University of Singapore Medical School, Singapore 168751, Singapore; National Institutes of Health Research Biomedical Research Centre Biomedical Centre, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, UK.
  • Kenneth Yung Chiang Kwek
    Division of Digital Strategy Office, Singapore Health Services, Singapore, Singapore.
  • Rick Siow Mong Goh
    A*STAR, Singapore, Singapore.
  • Yong Liu
    Department of Critical care medicine, Shenzhen Hospital, Southern Medical University, Guangdong, Shenzhen, China.
  • Daniel Shu Wei Ting
    Singapore National Eye Center, Singapore Eye Research Institute Singapore Health Service Singapore Singapore.

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