Why the study?
Precision cardiac electrophysiology seeks tailored healthcare strategies, and digital twins integrating patient-specific data with mechanistic simulations are fundamental to this approach.
Design
Narrative review
Key result
Cardiac digital twins offer personalized models to predict disease risk and optimize therapy, though their substantial costs require identifying specific clinical applications for greatest value.
Authors
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May guide ablation planning in persistent AF; leaves open whether AI precision medicine proves more cost-effective.
Cardiac digital twins offer personalized mechanistic insights that could optimize therapy planning, such as guiding ablation in atrial fibrillation, though cost-effectiveness and clinical implementation remain challenging.
Buonocunto et al. (2026) conducted a review in Cardiac arrhythmias. Digital twins was evaluated. Cardiac digital twins offer personalized models to predict disease risk and optimize therapy, though their substantial costs require identifying specific clinical applications for greatest value.