Evaluating AI-generated patient education materials for spinal surgeries: Comparative analysis of readability and DISCERN quality across ChatGPT and deepseek models.

Journal: International journal of medical informatics
Published Date: Mar 13, 2025

Abstract

BACKGROUND: Access to patient-centered health information is essential for informed decision-making. However, online medical resources vary in quality and often fail to accommodate differing degrees of health literacy. This issue is particularly evident in surgical contexts, where complex terminology obstructs patient comprehension. With the increasing reliance on AI models for supplementary medical information, the reliability and readability of AI-generated content require thorough evaluation.

Authors

  • Mi Zhou
    The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangzhou, China.
  • Yun Pan
    School of Computer and Cyberspace Security, Communication University of China, Beijing 100024, China.
  • Yuye Zhang
    Department of Orthopaedics, The Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China. Electronic address: zhangyuye1982@163.com.
  • Xiaomei Song
    Department of Nursing, The Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China. Electronic address: 2216086599@qq.com.
  • Youbin Zhou
    College of Intelligent Science and Control Engineering, Jinling Institute of Technology, Nanjing, China. Electronic address: Robinzhou.snake@gmail.com.

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