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Integrating uncertainty estimation and causal inference into BTB3D

Develop and integrate modules for uncertainty estimation and causal inference within the BTB3D encoder–decoder framework to enable clinically robust reasoning and decision support for real-world deployment.

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Background

The authors state that the current BTB3D framework does not explicitly model clinical reasoning or uncertainty, which are important for safe and effective clinical use.

They explicitly mark the incorporation of uncertainty estimation and causal inference modules as an open challenge, indicating the need for future research to extend BTB3D’s capabilities for clinical reliability.

References

Incorporating modules for uncertainty estimation or causal inference remains an open challenge for future studies.

Better Tokens for Better 3D: Advancing Vision-Language Modeling in 3D Medical Imaging (2510.20639 - Hamamci et al., 23 Oct 2025) in Appendix: Limitations and Broader Impacts