Papers/2608.26214
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Surgical Video Generation From Diffusion to World Models: A Survey

generative AIsurgical data sciencemulti-modal fusion
2608.26214
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Abstract

This survey organizes the literature on surgical video generation, highlighting its potential to address data scarcity in surgical training and robotic decision-making.

Reality Card

Core Claim

Surgical video generation can significantly enhance training and simulation by providing a structured approach to data scarcity in surgical contexts.

Method / Result

The survey categorizes methods into unconditional generation, conditional generation, and world modeling generation, revealing a shift towards modeling causal dynamics.

Limitations

There is a persistent gap between pixel-level fidelity and clinical plausibility, which poses challenges for reproducibility.

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