Exploring ChatGPT's Potential for Consultation, Recommendations and Report Diagnosis: Gastric Cancer and Gastroscopy Reports’ Case
Autor:
Zhou, Jiaming
; Li, Tengyue
; Fong, Simon James
; Dey, Nilanjan
; González-Crespo, Rubén
Fecha:
06/2023Palabra clave:
Revista / editorial:
International Journal of Interactive Multimedia and Artificial IntelligenceTipo de Ítem:
articleDirección web:
https://www.ijimai.org/journal/bibcite/reference/3307Resumen:
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.
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