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TRV-2026-0916Certified recordPeer-reviewed

EndoVLM: A Vision-Language Assistant for Gastrointestinal Endoscopy

Gastrointestinal endoscopy generates extensive high-resolution video data, posing significant challenges for efficient and accurate computer-aided diagnosis of gastrointestinal diseases. To address this, we propose EndoVLM (Endoscopy Vision-Language Model), a specialized visual question-answering assistant for gastroenterology. EndoVLM introduces ConvNeXt as a hierarchical visual encoder to replace traditional ViTs (Vision Transformers), inherently compressing high-resolution gastrointestinal endoscopy images in…

Health · G Space — documented gain · certified 2026-08-28 · v1 · article view · machine-readable

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EndoVLM increased visual question-answering accuracy for gastrointestinal endoscopy, raising Kvasir-VQA scores and improving external validation on Gastrovision.

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Truvace Impact Record TRV-2026-0916, v1: “EndoVLM: A Vision-Language Assistant for Gastrointestinal Endoscopy.” Truvace, 2026-08-28. /record/TRV-2026-0916 (accessed at citation time). sha256 ae04103bbab9a737…

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