Exploring ChatGPT's Potential for Consultation, Recommendations and Report Diagnosis: Gastric Cancer and Gastroscopy Reports’ Case
| dc.contributor.author | Zhou, Jiaming | |
| dc.contributor.author | Li, Tengyue | |
| dc.contributor.author | Fong, Simon James | |
| dc.contributor.author | Dey, Nilanjan | |
| dc.contributor.author | González-Crespo, Rubén | |
| dc.date | 2023-06 | |
| dc.date.accessioned | 2023-05-03T10:25:57Z | |
| dc.date.available | 2023-05-03T10:25:57Z | |
| dc.description.abstract | Artificial 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.identifier.doi | https://doi.org/10.9781/ijimai.2023.04.007 | |
| dc.identifier.issn | 1989-1660 | |
| dc.identifier.uri | https://reunir.unir.net/handle/123456789/14593 | |
| dc.language.iso | eng | es_ES |
| dc.publisher | International Journal of Interactive Multimedia and Artificial Intelligence | es_ES |
| dc.relation.ispartofseries | ;vol. 8, nº 2 | |
| dc.relation.uri | https://www.ijimai.org/journal/bibcite/reference/3307 | es_ES |
| dc.rights | openAccess | es_ES |
| dc.subject | artificial intelligence | es_ES |
| dc.subject | ChatGPT | es_ES |
| dc.subject | e-assessment | es_ES |
| dc.subject | gastric cancer | es_ES |
| dc.subject | medicine | es_ES |
| dc.subject | IJIMAI | es_ES |
| dc.subject | Scopus | es_ES |
| dc.subject | JCR | es_ES |
| dc.title | Exploring ChatGPT's Potential for Consultation, Recommendations and Report Diagnosis: Gastric Cancer and Gastroscopy Reports’ Case | es_ES |
| dc.type | article | es_ES |
| opencost.publication.doi | https://doi.org/10.9781/ijimai.2023.04.007 | |
| reunir.tag | ~IJIMAI | es_ES |
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