Impact of artificial intelligence-guided cardiac ablation techniques on the management of complex arrhythmias: a systematic review

Global high prevalence of complex arrhythmias or atrial fibrillation (AF) ventricular tachycardia (VT) has burdened healthcare systems as these conditions contribute to stroke or lead to heart failure and sudden cardiac death. So these fetal conditions demand effective management strategies. Traditional approaches like antiarrhythmic medications and catheter ablation often have suboptimal outcomes with AF recurrence rates as high as 50% within one year. Advent of artificial intelligence (AI) in arrhythmia management has provided us innovative techniques for enhancing precision in ablation procedures. AI systems have now optimized arrhythmia mapping and has improved lesion accuracy at significant rate. Research confirmed that since ai has emerged, it uses is widely implemented because it has reduced procedural times by up to 25%. Most current papers show AI-guided ablation has achieved success rates over 85% lowering recurrence and complication rates when compared to those conventional methods. Challenges are limited validation in diverse populations and concerns regarding data privacy and algorithm biases. This paper is entirely based on most current papers which are published between 2019 and 2023. We evaluated the efficacy and safety of AI-guided cardiac ablation which is main aim of conducting this research. While technology demonstrates promising results yet it necessitates further validation and ethical considerations so that its use can be adopted more frequently at global level. Integration of AI into clinical practice offers potential advancements in precision cardiology but further research is required to address the existing gaps.