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dc.contributor.authorZhou, Jiaming
dc.contributor.authorLi, Tengyue
dc.contributor.authorFong, Simon James
dc.contributor.authorDey, Nilanjan
dc.contributor.authorGonzález-Crespo, Rubén
dc.date2023-06
dc.date.accessioned2023-05-03T10:25:57Z
dc.date.available2023-05-03T10:25:57Z
dc.identifier.issn1989-1660
dc.identifier.urihttps://reunir.unir.net/handle/123456789/14593
dc.description.abstractArtificial intelligence (AI) has shown its effectiveness in helping clinical users meet evolving challenges. Recently, ChatGPT, a newly launched AI chatbot with exceptional text comprehension capabilities, has triggered a global wave of AI popularization and application in seeking answers through human‒machine dialogues. Gastric cancer, as a globally prevalent disease, has a five-year survival rate of up to 90% when detected early and treated promptly. This research aims to explore ChatGPT's potential in disseminating gastric cancer knowledge, providing consultation recommendations, and interpreting endoscopy reports. Through experimentation, the GPT-4 model of ChatGPT achieved an appropriateness of 91.3% and a consistency of 95.7% in a gastric cancer knowledge test. Furthermore, GPT-4 has demonstrated considerable potential in consultation recommendations and endoscopy report analysis.es_ES
dc.language.isoenges_ES
dc.publisherInternational Journal of Interactive Multimedia and Artificial Intelligencees_ES
dc.relation.ispartofseries;vol. 8, nº 2
dc.relation.urihttps://www.ijimai.org/journal/bibcite/reference/3307es_ES
dc.rightsopenAccesses_ES
dc.subjectartificial intelligencees_ES
dc.subjectChatGPTes_ES
dc.subjecte-assessmentes_ES
dc.subjectgastric canceres_ES
dc.subjectmedicinees_ES
dc.subjectIJIMAIes_ES
dc.subjectScopuses_ES
dc.subjectJCRes_ES
dc.titleExploring ChatGPT's Potential for Consultation, Recommendations and Report Diagnosis: Gastric Cancer and Gastroscopy Reports’ Casees_ES
dc.typearticlees_ES
reunir.tag~IJIMAIes_ES
dc.identifier.doihttps://doi.org/10.9781/ijimai.2023.04.007


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