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Publication Name World Journal of Methodology
Manuscript ID 116022
Country India
Category Gastroenterology & Hepatology
Manuscript Type Observational Study
Article Title Do bots provide correct and adequate guidance regarding acidity: A blinded comparison rated by patients and physicians
Manuscript Source Invited Manuscript
All Author List Kartikay Goyal, Manjeet Kumar Goyal, Varna Taranikanti, Praneet Wander, Rishi Chowdhary, Shivam Kalra, Gargi Prashar, Ashita Rukmini Vuthaluru and Omesh Goyal
Funding Agency and Grant Number
Corresponding Author Omesh Goyal, Professor, Department of Gastroenterology, Dayanand Medical College and Hospital, Tagore Nagar, Ludhiana 141001, Punjab, India. goyalomesh@yahoo.co.in
Key Words Large language models; Gastroesophageal reflux; Patient education; Empathy; Actionability
Core Tip This is among the first head-to-head evaluations of ChatGPT-5, Gemini-2.5, and Claude-4 for patient education on acidity (gastroesophageal reflux disease). Physicians rated Gemini-2.5 and Claude-4 highest in accuracy, empathy, and actionability, while patients appreciated ChatGPT-5’s readability. The study underscores trade-offs between clarity and clinical richness and highlights how large language models can complement but not replace clinician-guided patient education.
Citation Goyal K, Goyal MK, Taranikanti V, Wander P, Chowdhary R, Kalra S, Prashar G, Vuthaluru AR, Goyal O. Do bots provide correct and adequate guidance regarding acidity: A blinded comparison rated by patients and physicians. World J Methodol 2026; In press
Received
2025-11-02 12:32
Peer-Review Started
2025-11-02 12:32
First Decision by Editorial Office Director
2025-12-17 09:29
Return for Revision
2025-12-17 09:29
Revised
2025-12-22 14:47
Publication Fee Transferred
Second Decision by Editor
2026-01-28 02:37
Second Decision by Editor-in-Chief
Final Decision by Editorial Office Director
2026-01-28 12:37
Articles in Press
2026-01-28 12:37
Edit the Manuscript by Language Editor
Typeset the Manuscript
ISSN 2222-0682 (online)
Open Access This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
Copyright ©The Author(s) 2026. Published by Baishideng Publishing Group Inc. All rights reserved.
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