This paper is in the following e-collection/theme issue:

Artificial Intelligence (1409) Generative Language Models Including ChatGPT (320) Chatbots and Conversational Agents (542) Innovations and Technology in Cancer Care (429) Applications of AI (101) Artificial Intelligence (96) Patient Education for Cancer (153)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/63892, first published .
Leveraging Large Language Models for Improved Understanding of Communications With Patients With Cancer in a Call Center Setting: Proof-of-Concept Study

Leveraging Large Language Models for Improved Understanding of Communications With Patients With Cancer in a Call Center Setting: Proof-of-Concept Study

Leveraging Large Language Models for Improved Understanding of Communications With Patients With Cancer in a Call Center Setting: Proof-of-Concept Study

Authors of this article:

Seungbeom Cho1 Author Orcid Image ;   Mangyeong Lee2, 3 Author Orcid Image ;   Jaewook Yu1 Author Orcid Image ;   Junghee Yoon4 Author Orcid Image ;   Jae-Boong Choi1, 5 Author Orcid Image ;   Kyu-Hwan Jung6, 7 Author Orcid Image ;   Juhee Cho2, 4, 8 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Seungbeom Cho   1 * , PhD ;   Mangyeong Lee   2, 3 * , PhD ;   Jaewook Yu   1 , BS ;   Junghee Yoon   4 , PhD ;   Jae-Boong Choi   1, 5 , PhD ;   Kyu-Hwan Jung   6, 7 , PhD ;   Juhee Cho   2, 4, 8 , PhD

1 School of Mechanical Engineering, Sungkyunkwan University, Suwon-si, Republic of Korea

2 Department of Digital Health, Samsung Advanced Institute for Health Sciences and Technology, Sungkyunkwan University, Seoul, Republic of Korea

3 Center for Clinical Epidemiology, Samsung Medical Center, Seoul, Republic of Korea

4 Department of Clinical Research Design and Evaluation, Samsung Advanced Institute for Health Sciences and Technology, Sungkyunkwan University, Seoul, Republic of Korea

5 Service Convergence Design (Interdisciplinary), Sungkyunkwan University, Suwon-si, Republic of Korea

6 Department of Medical Device Management and Research, Samsung Advanced Institute for Health Sciences and Technology, Sungkyunkwan University, Seoul, Republic of Korea

7 Smart Healthcare Research Center, Research Institute for Future Medicine, Samsung Medical Center, Seoul, Republic of Korea

8 Cancer Education Center, Samsung Comprehensive Cancer Center, Seoul, Republic of Korea

*these authors contributed equally

Corresponding Author:

  • Kyu-Hwan Jung, PhD
  • Department of Medical Device Management and Research, Samsung Advanced Institute for Health Sciences and Technology
  • Sungkyunkwan University
  • 81 Irwon‐ro, Gangnam
  • Seoul, 06355
  • Republic of Korea
  • Phone: 82 02-3410-3632
  • Email: kyuhwanjung@gmail.com