<scp>GastroGPT</scp> Pioneering Specialized <scp>AI</scp> in Gastroenterology: Strengths, Pitfalls, and the Road to Clinical Integration

Abstract

< 0.001) on six out of seven tasks and included tasks such as patient history acquisition, recommendation for referral, and patient education. Its reproducibility and consistency across task complexities indicate its potential in situations of resource limitation. While it remains limited by its reliance on simulated cases, some participant selection and exposure bias attributed to training data, and lack of appropriate comparisons with medical-specific models such as OpenEvidence, there remains the need for future real-world trials and multimodal integrations within workflows to evaluate GastroGPT's transformation potential in improving gastroenterology workflows and patient care.

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