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Miaojing Shi

As seen in: Nature, EClinicalMedicine
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Articles

Bootstrapping multimodal large language model with medical knowledge for automatic esophagogastroduodenoscopy diagnosis and reporting

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By Miaojing Shi, Zijie Yue, Huihui Sun, Yikun Ma, Ying Chen, Xiaofen Wu, Hanli Wang, Jun Wang, Shuchang Xu, Tianyu Cen
| Nature Verified
Abstract Esophagogastroduodenoscopy (EGD) is an essential clinical procedure for diagnosing gastrointestinal (GI) diseases, while the subsequent EGD reports play a vital role in clinical decision-making and therapeutic interventions. This paper makes the first attempt to bootstrap Multimodal Large Language Models (MLLM) with medical knowledge for EGD diagnosis and reporting (EDR).
Open in Who Shared Issue with article?

Development and validation of an AI foundation model for endoscopic diagnosis of esophagogastric junction adenocarcinoma: a cohort and deep learning study

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By Miaojing Shi, Huihui Sun
| EClinicalMedicine Verified
Keywords Esophagogastric junction adenocarcinoma AI foundation model Endoscopic diagnosis Staging diagnosis Evidence before this study We conducted a literature search on PubMed up to March 30, 2025, utilizing the search query (“deep learning” OR “machine learning” OR “artificial intelligence”) AND (“esophagogastric junction”) AND (“cancer” OR “tumor” OR “adenocarcinoma”) AND (“classification” OR “diagnosis”) without any language restriction.
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Facial Video-based Remote Physiological Measurement via Self-supervised Learning

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By Shuai Dominique Ding, Zijie Yue, Miaojing Shi
| nlm.nih.gov
Save citation to file Format: Add to My Bibliography Your saved search Name of saved search: Search terms: Frequency: Which day? Which day? Report format: Send at most: Send even when there aren't any new results Optional text in email: Create a file for external citation management software
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