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Decoding the surgical scene: A scoping review of scene graphs in surgery

delete2026-04-25
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PRE
AI
A
Angelo Henriques *
K
Korab Hoxha
D
Daniel Zapp
P
Peter Charbel Issa
N
Nassir Navab
M
M. Ali Nasseri
DOI：10.1016/j.media.2026.104083delete
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Abstract

Abstract

En 中文
• First systematic review to map the rapidly evolving landscape of Surgical Scene Graphs. • Quantitative analysis reveals a decisive shift from GNNs to Foundation Models (50% of 2025 research). • Exposes a critical ‘data divide’: internal views use real video, while 4D OR modeling relies on simulation. • Scene graphs are emerging as essential neuro-symbolic guardrails to prevent AI hallucinations. • Identifying the transition from descriptive analysis to controllable generative surgical simulation.
Keywords:
Surgical Scene Graphs
Foundation Models
Neuro-symbolic Systems
Generative Simulation
Data Divide

Journal

Medical Image Analysis cover
Medical Image Analysis
IF:
11.8
Papers:
3.7K
Citations:
2.4W

Organization

T
TUM University Hospital
Scholars:
3
Papers: 1
Citations: 0
T
Technical University of Munich
Scholars:
5.2W
Papers: 3.9W
Citations: 6.2W
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