What question did this study set out to answer?

To review the principles, clinical challenges, and emerging methodologies of AI-based 3D cardiovascular CT segmentation and quantification in congenital heart disease.

January 1, 2026Cardiovascular Imaging AsiaOpen Access

Artificial Intelligence-Based Three-Dimensional Cardiovascular CT Segmentation and Quantification for Congenital Heart Disease: What We Have Learned

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Authors

HGHyun Woo GooUlsan College SYSoon Ho YoonSeoul National University Hospital SPS ParkSeoul National University

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Implication

Narrative review demonstrates the challenges of AI-based 3D CT segmentation in congenital heart disease, highlighting strategies to overcome data scarcity and anatomical heterogeneity.

Key Points

To review the principles, clinical challenges, and emerging methodologies of AI-based 3D cardiovascular CT segmentation and quantification in congenital heart disease.
Reviewed current literature on state-of-the-art AI segmentation algorithms and cardiovascular digital twin technology.
Synthesized findings with empirical observations derived from the authors' pilot study evaluating AI applications in congenital heart defects.
Noted that extreme morphological heterogeneity and limited annotated imaging datasets remain the primary bottlenecks for developing robust AI segmentation models in congenital heart disease.
Highlighted the clinical promise of cardiovascular digital twins and novel computational frameworks to overcome training data scarcity and improve surgical planning.

Cite This Study

Goo et al. (2026) studied this question.

synapsesocial.com/papers/6a19e46205af093a17f6b60d https://doi.org/10.22468/cvia.2025.00108

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Implication

Narrative review demonstrates the challenges of AI-based 3D CT segmentation in congenital heart disease, highlighting strategies to overcome data scarcity and anatomical heterogeneity.

Artificial Intelligence-Based Three-Dimensional Cardiovascular CT Segmentation and Quantification for Congenital Heart Disease: What We Have Learned

Discussion

Member takes

Implication

Key Points

Cite This Study

Artificial Intelligence-Based Three-Dimensional Cardiovascular CT Segmentation and Quantification for Congenital Heart Disease: What We Have Learned

Discussion

Member takes

Implication

Key Points

Cite This Study

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