Accessibility settings

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

Breast Cancer (451) Patient Education for Cancer (340) Information Seeking, Information Needs (672) Artificial Intelligence (5117) Generative Language Models Including ChatGPT (1682) AI Language Models in Health Care (869)

Published on in Vol 12 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/72839, first published .
Professional woman in a cream blazer working on a laptop.

ChatGPT Versus DeepSeek for Breast Cancer Information Retrieval: Quantitative Comparative Study

ChatGPT Versus DeepSeek for Breast Cancer Information Retrieval: Quantitative Comparative Study

Authors of this article:

Rima Hajjo1 Author Orcid Image ;   Dima A Sabbah1 Author Orcid Image ;   Sanaa K Bardaweel2 Author Orcid Image
Article Authors Cited by (4) Tweetations Metrics

Journals

  1. Zhang H, Qu L, Bai H, Chen Y, Ji R, Cheng Z, Yang C. Beyond accuracy: evaluating the reliability of large language models for medical assessment. Frontiers in Artificial Intelligence 2026;9 View
  2. Altunpak B. Large Language Models for Breast Cancer Education: A Comparative Analysis of Quality, Reliability and Readability. Surgical Innovation 2026 View
  3. Al-Suhimat R, Alkafaween E, Moshref M, Al-Saqqa S, Dmour M. Predicting When an ECG Biometric Identity Becomes Unreliable: An Uncertainty-Aware Framework for Adaptive Re-Enrollment. Information 2026;17(10):936 View
  4. Hang Y, Yuan R, Lu M, Long F, Hsu H, Bai L, Qian J. Comparative evaluation of large language models for esophageal cancer patient education: quality, reliability, readability, understandability, and actionability. Frontiers in Medicine 2026;13 View