Published on in Vol 11 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/68516, first published .
Leveraging Artificial Intelligence for Digital Symptom Management in Oncology: The Development of CRCWeb

Leveraging Artificial Intelligence for Digital Symptom Management in Oncology: The Development of CRCWeb

Leveraging Artificial Intelligence for Digital Symptom Management in Oncology: The Development of CRCWeb

Darren Liu   1, 2, 3 * , MS ;   Yufen Lin   2, 4 * , PhD ;   Runze Yan   2, 3 , PhD ;   Zhiyuan Wang   5 , BE ;   Delgersuren Bold   2, 3 , MS ;   Xiao Hu   2, 3, 6 , PhD

1 Department of Computer Science, Laney Graduate School, Emory University, Atlanta, GA, United States

2 Nell Hodgson Woodruff School of Nursing, Emory University, Atlanta, GA, United States

3 Center for Data Science, Emory University, Atlanta, GA, United States

4 Winship Cancer Institute, Emory University, Atlanta, GA, United States

5 Department of Systems and Information Engineering, University of Virginia, Charlottesville, VA, United States

6 The Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, GA, United States

*these authors contributed equally

Corresponding Author:

  • Xiao Hu, PhD
  • Nell Hodgson Woodruff School of Nursing
  • Emory University
  • 1520 Clifton Rd NE
  • Atlanta, GA 30322
  • United States
  • Phone: 1 3104986136
  • Email: xiao.hu@emory.edu