cAPM: Continual AI-Assisted Pace-Mapping with Active Learning
📰 ArXiv cs.AI
Learn how cAPM uses AI-assisted pace-mapping with active learning to improve ventricular tachycardia treatment, and how to apply similar techniques to other medical applications
Action Steps
- Apply active learning techniques to medical imaging data to improve model accuracy
- Use continual learning to update AI models with new patient data
- Configure AI-assisted pace-mapping systems to optimize intervention target identification
- Test the performance of cAPM on clinical datasets to evaluate its effectiveness
- Compare the results of cAPM with traditional pace-mapping methods to assess its benefits
Who Needs to Know This
Cardiologists and AI researchers can benefit from this technique to improve the accuracy and efficiency of pace-mapping procedures, and to develop more effective treatments for ventricular tachycardia
Key Insight
💡 Continual AI-assisted pace-mapping with active learning can improve the accuracy and efficiency of ventricular tachycardia treatment
Share This
🚀 cAPM: AI-assisted pace-mapping with active learning for improved ventricular tachycardia treatment! #AIinMedicine #Cardiology
Key Takeaways
Learn how cAPM uses AI-assisted pace-mapping with active learning to improve ventricular tachycardia treatment, and how to apply similar techniques to other medical applications
Full Article
Title: cAPM: Continual AI-Assisted Pace-Mapping with Active Learning
Abstract:
arXiv:2606.19373v1 Announce Type: cross Abstract: Ventricular tachycardia is a life-threatening rhythm disorder and a major cause of sudden cardiac death. Pace-mapping is a clinical procedure for identifying the intervention target during catheter ablation of VT. It requires clinicians to pace different sites in the ventricles and rapidly interpret the resulting electrocardiograms to determine where to pace next or whether a target site has been identified. Active learning AI models have been pr
Abstract:
arXiv:2606.19373v1 Announce Type: cross Abstract: Ventricular tachycardia is a life-threatening rhythm disorder and a major cause of sudden cardiac death. Pace-mapping is a clinical procedure for identifying the intervention target during catheter ablation of VT. It requires clinicians to pace different sites in the ventricles and rapidly interpret the resulting electrocardiograms to determine where to pace next or whether a target site has been identified. Active learning AI models have been pr
DeepCamp AI