Assessing the Accuracy and Readability of Generative Artificial Intelligence Responses for Esophageal and Gastric Cancer Patients

: This study revealed that in this comparative evaluation application of GenAI models, DeepSeek provides the most accurate responses for upper GI cancer inquiries about definition and treatment, while ChatGPT showed superiority in management-related questions. However, all models generate texts requiring advanced reading levels, highlighting a need for readability optimization without compromising accuracy. GenAI shows promise for patient education but requires rigorous validation for clinical integration.

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Publication Details

Journal
Journal of Clinical Medicine
Published
2026-04-13
DOI
https://doi.org/10.3390/jcm15082958
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00

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article

Assessing the Accuracy and Readability of Generative Artificial Intelligence Responses for Esophageal and Gastric Cancer Patients

M F Zhang, F Chen, Ran Wei, Shanhu Ran et al.
Journal of Clinical Medicine
Artificial Intelligence in Healthcare and Education
article

Assessing the Accuracy and Readability of Generative Artificial Intelligence Responses for Esophageal and Gastric Cancer Patients

M F Zhang, F Chen, Ran Wei, Shanhu Ran, B L Zhang, Zixian Wang, Yukun Chen, Wenlong Guan, Yating Wang
article en

Abstract

: This study revealed that in this comparative evaluation application of GenAI models, DeepSeek provides the most accurate responses for upper GI cancer inquiries about definition and treatment, while ChatGPT showed superiority in management-related questions. However, all models generate texts requiring advanced reading levels, highlighting a need for readability optimization without compromising accuracy. GenAI shows promise for patient education but requires rigorous validation for clinical integration.

Journal of Clinical MedicineVol. 15(8)
Sun Yat-sen University (CN), Chinese Academy of Medical Sciences & Peking Union Medical College (CN), Sun Yat-sen University Cancer Center (CN), All Saints Hospital (ZA)
Basic and Applied Basic Research Foundation of Guangdong Province
Quality Education
Openalex Percentile: Top 25%
Artificial Intelligence in Healthcare and Education
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Assessing the Accuracy and Readability of Generative Artificial Intelligence Responses for Esophageal and Gastric Cancer Patients — M F Zhang, F Chen, et al. · Journal of Clinical Medicine (2026) | TGRS Research Map | TGRS