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Percutaneous coronary intervention (PCI) is an important treatment strategy for patients with coronary artery disease. Combined bleeding after PCI significantly increases the risk of death in patients. The search for prognostic predictors and optimal antiplatelet therapy for patients with high bleeding risk (HBR) after PCI has been a hot topic in cardiovascular research. There is no accepted prognostic model or recommended antiplatelet therapy for patients with PCI-HBR. In this project, based on retrospective data extraction and prospective database building, we used artificial intelligence (AI) to analyze the adverse prognostic predictors of PCI-HBR patients, observe the types of antiplatelet drugs and duration of dual antiplatelet therapy in PCI-HBR patients, and compare the safety and feasibility of different antiplatelet regimens and treatment courses. The safety and feasibility of d
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