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September 15, 2026TomographyOpen Access

A multimodal characterization framework for atrial fibrillation integrates anatomical reconstruction and electrophysiological phenotyping to advance mechanistic insight and personalized management.

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Design

Narrative review

Key result

A multimodal characterization framework for atrial fibrillation integrates anatomical reconstruction and electrophysiological phenotyping to advance mechanistic insight and personalized management.

Authors

TWTiantian WangQZQuan ZouHYHuan Yang

Discussion

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Overview

May advance personalized AF modeling via multimodal data; leaves open prospective clinical validation.

Key Points

  • To synthesize multimodal frameworks spanning patient-specific anatomical reconstruction, electrophysiological phenotyping, and standardized spatial mapping for managing atrial fibrillation.
  • Conducted a narrative review of literature from PubMed, Web of Science, and Google Scholar published between January 2010 and June 2026.
  • Assessed methodologies across clinical imaging, deep learning segmentation, multiscale electrophysiology (12-lead ECG, BSPM, ECGI, and EAM), and coordinate registration systems.
  • Deep learning models and clinical imaging enable whole-chamber, subregional, and tissue-level anatomical modeling of atrial structures.
  • Standardized coordinate systems and multimodal registration integrate diverse electrophysiological and imaging datasets into patient-specific computational models for risk stratification.
  • Clinical implementation remains restricted by reconstruction noise, imaging variability, registration uncertainty, and an absence of algorithm-guided prospective multicenter validation.

Structured PICO

P
Population
Patients with atrial fibrillation
I
Intervention
Multimodal characterization framework (anatomical reconstruction, electrophysiological phenotyping, standardized spatial mapping)

A comprehensive multimodal framework integrating anatomical and electrophysiological data can advance personalized atrial fibrillation management, though prospective clinical validation is needed.

Limitations

  • Imaging variability
  • Reconstruction noise
  • Registration uncertainty
  • Limited prospective multicenter validation
  • imaging variability
  • reconstruction noise
  • registration uncertainty
  • limited prospective multicenter validation

Cite This Study

Wang et al. (2026) conducted a review in Atrial fibrillation. Multimodal characterization framework was evaluated. A multimodal characterization framework for atrial fibrillation integrates anatomical reconstruction and electrophysiological phenotyping to advance mechanistic insight and personalized management.

synapsesocial.com/papers/6aa9016aeed42882c1fc181ehttps://doi.org/10.3390/tomography12090132
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