Arrhythmias & electrophysiology
Fully Automated Anatomy Labeling for Intracardiac Echocardiography Using Deep Learning
Authors' conclusion
This fully automated anatomy labeling algorithm can serve as an education tool or can be used as a navigation tool to guide ICE operators in EP procedures.
Study context
- Population
- Intracardiac echocardiography (ICE) images from the right atrium during electrophysiologic (EP) procedures
- Participants
- 605 EP procedures
- Outcome
- Automated identification of anatomic structures
Methodological details2 institutions, deep learning algorithm development
- 2 institutions
- Deep learning algorithm development
Performance
As reported in the abstract
Anatomic structures correctly identified with >70% precision and recall
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Original publication
Fully Automated Anatomy Labeling for Intracardiac Echocardiography Using Deep Learning. JACC Clin Electrophysiol. Published 6 August 2025. doi:10. 1016/ j. jacep. 2025. 06. 009
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