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Exploring the capacities of ChatGPT: A comprehensive evaluation of its accuracy and repeatability in addressing helicobacter pylori-related queries.
Lai, Yongkang; Liao, Foqiang; Zhao, Jiulong; Zhu, Chunping; Hu, Yi; Li, Zhaoshen.
Afiliação
  • Lai Y; Department of Gastroenterology, Ganzhou People's Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China.
  • Liao F; Department of Gastroenterology, Shanghai Changhai Hospital, Naval Medical University, Shanghai, China.
  • Zhao J; Department of Gastroenterology, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China.
  • Zhu C; Department of Gastroenterology, Shanghai Changhai Hospital, Naval Medical University, Shanghai, China.
  • Hu Y; Department of Gastroenterology, Ganzhou People's Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China.
  • Li Z; Department of Gastroenterology, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China.
Helicobacter ; 29(3): e13078, 2024.
Article em En | MEDLINE | ID: mdl-38867649
ABSTRACT

BACKGROUND:

Educational initiatives on Helicobacter pylori (H. pylori) constitute a highly effective approach for preventing its infection and establishing standardized protocols for its eradication. ChatGPT, a large language model, is a potentially patient-friendly online tool capable of providing health-related knowledge. This study aims to assess the accuracy and repeatability of ChatGPT in responding to questions related to H. pylori. MATERIALS AND

METHODS:

Twenty-one common questions about H. pylori were collected and categorized into four domains basic knowledge, diagnosis, treatment, and prevention. ChatGPT was utilized to individually answer the aforementioned 21 questions. Its responses were independently assessed by two experts on H. pylori. Questions with divergent ratings were resolved by a third reviewer. Cohen's kappa coefficient was calculated to assess the consistency between the scores of the two reviewers.

RESULTS:

The responses of ChatGPT on H. pylori-related questions were generally satisfactory, with 61.9% marked as "completely correct" and 33.33% as "correct but inadequate." The repeatability of the responses of ChatGPT to H. pylori-related questions was 95.23%. Among the responses, those related to prevention (comprehensive 75%) had the best response, followed by those on treatment (comprehensive 66.7%), basic knowledge (comprehensive 60%), and diagnosis (comprehensive 50%). In the "treatment" domain, 16.6% of the ChatGPT responses were categorized as "mixed with correct or incorrect/outdated data." However, ChatGPT still lacks relevant knowledge regarding H. pylori resistance and the use of sensitive antibiotics.

CONCLUSIONS:

ChatGPT can provide correct answers to the majority of H. pylori-related queries. It exhibited good reproducibility and delivered responses that were easily comprehensible to patients. Further enhancement of real-time information updates and correction of inaccurate information will make ChatGPT an essential auxiliary tool for providing accurate H. pylori-related health information to patients.
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Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Helicobacter pylori / Infecções por Helicobacter Limite: Humans Idioma: En Revista: Helicobacter Assunto da revista: BACTERIOLOGIA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Helicobacter pylori / Infecções por Helicobacter Limite: Humans Idioma: En Revista: Helicobacter Assunto da revista: BACTERIOLOGIA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: China