{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,10]],"date-time":"2026-07-10T07:12:40Z","timestamp":1783667560213,"version":"3.55.0"},"reference-count":27,"publisher":"Baishideng Publishing Group Inc.","issue":"3","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["World J Methodol"],"abstract":"<jats:p>BACKGROUND<\/jats:p>\n                  <jats:p>Large language models (LLMs) are increasingly accessed by patients for gastrointestinal health information. Despite their growing use, concerns persist regarding accuracy, empathy, actionability, and readability of responses generated by LLMs.<\/jats:p>\n                  <jats:p>AIM<\/jats:p>\n                  <jats:p>To assess the responses generated by ChatGPT-5, Gemini-2.5, and Claude-4 for common patient questions on \u201cacidity\u201d (heartburn\/dyspepsia\/gastroesophageal reflux disease).<\/jats:p>\n                  <jats:p>METHODS<\/jats:p>\n                  <jats:p>Thirty-nine frequently asked questions were submitted to each model. Responses were independently rated by three gastroenterologists for accuracy, comprehensiveness, empathy, and actionability; and by 20 patients for empathy, comprehensiveness, actionability, compassion, and usefulness. Readability indices were also analyzed.<\/jats:p>\n                  <jats:p>RESULTS<\/jats:p>\n                  <jats:p>Significant inter-model differences were observed across multiple physician-rated domains. Gemini-2.5 and Claude-4 achieved higher mean scores for accuracy, comprehensiveness, and actionability compared with ChatGPT-5 (P  &lt; 0.05), while Claude-4 demonstrated the highest empathy scores. Patient ratings indicated uniformly high comprehensibility across all models; however, Gemini-2.5 and Claude-4 responses were perceived as more actionable than those generated by ChatGPT-5. Readability analysis showed that ChatGPT-5 produced the most accessible responses, corresponding approximately to a high-school reading level, whereas Gemini-2.5 and Claude-4 generated more linguistically complex content.<\/jats:p>\n                  <jats:p>CONCLUSION<\/jats:p>\n                  <jats:p>These findings underscore the need for careful model selection and suggest that hybrid approaches integrating complementary model strengths may optimize safe and effective artificial intelligence -assisted patient education in gastroenterology.<\/jats:p>","DOI":"10.5662\/wjm.v16.i3.116022","type":"journal-article","created":{"date-parts":[[2026,7,10]],"date-time":"2026-07-10T06:13:49Z","timestamp":1783664029000},"source":"Crossref","is-referenced-by-count":0,"title":["Do bots provide correct and adequate guidance regarding acidity: A blinded comparison rated by patients and 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