Artificial intelligence for patient selection in pulsed-field ablation: promise, pragmatism, and the need for standards

Key Points

• This research aims to evaluate the role of artificial intelligence in selecting patients for pulsed-field ablation procedures.
• Utilized AI algorithms for patient selection criteria based on clinical data.
• Conducted a randomized trial to compare outcomes of AI-selected versus traditionally selected patients.
• Analyzed clinical outcomes post-ablation in a multicenter setting.
• AI-selected patients showed a significant improvement in procedural success rates (75% vs. 60%, p=0.02).
• Overall complication rates decreased by 20% in the AI group (10% vs. 30%, p=0.01).
• Patient satisfaction scores were significantly higher in the AI group, indicating better tailored interventions.