1 citations · 1 across the 4 of their papers we have counts for
4 papers
SurgCheck: Do Vision-Language Models Really Look at Images in Surgical VQA?
Jongmin Shin, Ka Young Kim, Eunki Cho +2
Purpose: Vision-language models (VLMs) have shown promising performance in surgical visual question answering (VQA). However, existing surgical VQA datasets often contain linguisti…
CurConMix+: A Unified Spatio-Temporal Framework for Hierarchical Surgical Workflow Understanding
Yongjun Jeon, Jongmin Shin, Kanggil Park +8
Surgical action triplet recognition aims to understand fine-grained surgical behaviors by modeling the interactions among instruments, actions, and anatomical targets. Despite its…
AURA: Development and Validation of an Augmented Unplanned Removal Alert System using Synthetic ICU Videos
Junhyuk Seo, Hyeyoon Moon, Kyu-Hwan Jung +2
Unplanned extubation (UE) remains a critical patient safety concern in intensive care units (ICUs), often leading to severe complications or death. Real-time UE detection has been…
Current validation practice undermines surgical AI development
Annika Reinke, Ziying O. Li, Minu D. Tizabi +98
Surgical data science (SDS) is rapidly advancing, yet clinical adoption of artificial intelligence (AI) in surgery remains limited, with inadequate validation as an important contr…