Zehua Dong

Domain specific multimodal large language model for automated endoscopy reporting with multicenter prospective validation

Ruiqing Jiang, Boru Chen, Zehua Dong, Xiaoquan Zeng et autres

Accurate endoscopy reports are crucial for the diagnosis and management of patients with upper gastrointestinal (UGI) diseases, yet errors and omissions are common. The preparation of routine reports for common diseases is labor-intensive and time-consuming. To address this, here we developed Report-Angel, …

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Effect of a Computer-Aided Device for Detecting Gastric Neoplasms: A Multicenter, Randomized Controlled Trial

Zehua Dong, Lianlian Wu, Hongliu Du, Xiao Tao et autres

BACKGROUND & AIMS: Evidence about the effect of artificial intelligence (AI) on upper endoscopy in multicenter, randomized controlled trials is lacking. We aimed to explore whether AI can enhance gastric neoplasm detection. METHODS: Participants from 24 hospitals in China from December 21, …

cn (code pays fourni par la source)

Influence of sex differences among endoscopists in gastric cancer and precancerous condition detection rate during EGD in the artificial intelligence era: a retrospective study

Yijie Zhu, Li Huang, Dexin Gong, Zehua Dong et autres

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Exploring the influence of endoscopist characteristics and artificial intelligence on adenoma detection in colonoscopy

Chenxia Zhang, Dexin Gong, Xiao Tao, Liang Huang et autres

Background Adenoma detection rate (ADR) is a key indicator of colonoscopy quality, but operator variability persists. Female clinicians may perform differently in other medical contexts, and artificial intelligence (AI) has been proposed to enhance detection. This study evaluated the impact of endoscopist …

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