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An Explainable AI Application (AF’fective) to Support Monitoring of Patients With Atrial Fibrillation After Catheter Ablation: Qualitative Focus Group, Design Session, and Interview Study

An Explainable AI Application (AF’fective) to Support Monitoring of Patients With Atrial Fibrillation After Catheter Ablation: Qualitative Focus Group, Design Session, and Interview Study

In this section, we summarize and report the in-depth insights from the 2 early stages of interviews (partially reported as a poster in the study by She et al [39]) and group design sessions to conceptualize and pilot-test our design strategies and prototype. We chose to include some key findings from these early stages to enhance readers’ understanding of our design decisions in developing the final prototype for evaluation.

Wan Jou She, Panote Siriaraya, Hibiki Iwakoshi, Noriaki Kuwahara, Keitaro Senoo

JMIR Hum Factors 2025;12:e65923