Exploring chatGPT'S potential for consultation, recommendations and report diagnosis: Gastric cancer and gastroscopy reports’ case

• Jiaming Zhou ^[1] ; Tengyue Li ^[1] ; Simon James Fong ^[1] ; Nilanjan Dey ^[3] ; Rubén González Crespo ^[2]
  1. [1] University of Macau

     University of Macau

     RAE de Macao (China)

     
  2. [2] Universidad Internacional de La Rioja

     Universidad Internacional de La Rioja

     Logroño, España

     
  3. [3] Techno International New Town

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• Localización: IJIMAI, ISSN-e 1989-1660, Vol. 8, Nº. 2, 2023, págs. 7-13
• Idioma: inglés
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• Resumen

  • 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.