Pilot clinical evaluation of artificial intelligence-driven guiding catheter simulation for optimizing percutaneous coronary intervention.

ABSTRACT:

Aims

In percutaneous coronary intervention (PCI), a suboptimal choice of guiding catheter may compromise coaxial alignment and backup support, prolonging procedures and increasing radiation and contrast exposure. We assessed whether a computed tomography (CT)-driven, artificial intelligence (AI)-guided preprocedural simulation could improve procedural efficiency and safety.

Methods and results

In a single-centre prospective registry with historical controls, 55 consecutive elective procedures performed with CT-based AI-assisted guiding-catheter selection were compared with 55 procedures performed without assistance. The primary endpoint was total procedure time from arterial access to completion. Secondary endpoints included time to coronary engagement, radiation dose, contr

SUBMITTER: Yoshinaga M 

PROVIDER: S-EPMC12897535 | biostudies-literature | 2026 Mar

REPOSITORIES: biostudies-literature