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

Artificial Intelligence (1773) Generative Language Models Including ChatGPT (521) Chatbots and Conversational Agents (645) Innovations and Technology in Cancer Care (469) Applications of AI (180) Patient Education for Cancer (192)

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 (2) Tweetations Metrics Author Video

Journals

  1. Jung K. Large Language Models in Medicine: Clinical Applications, Technical Challenges, and Ethical Considerations. Healthcare Informatics Research 2025;31(2):114 View
  2. Qiang S, Zhang H, Liao Y, Zhang Y, Gu Y, Wang Y, Xu Z, Shi H, Han N, Yu H. Effectiveness of Large Language Models in Stroke Rehabilitation Health Education: A Comparative Study of ChatGPT-4, MedGo, Qwen, and ERNIE Bot (Preprint). Journal of Medical Internet Research 2025 View