Applications and challenges of artificial intelligence technology in the training of cardiac surgeons
Li Lei
Liu Chuang
Zhang Hongjia
Guan Xinliang
Wang Xiaolong
Abstract：Artificial intelligence(AI)is deeply integrating into the training system for cardiac surgeons.Through technologies such as image recognition,virtual reality,and machine learning,it enables objective assess-ment of complex surgical skills,personalized feedback,and immersive simulation training.Relying on platforms like Touch Surgery,dV-Trainer,and Proximie,AI can accurately replicate high-difficulty operations such as valvuloplasty and coronary artery bypass grafting,significantly improving training efficiency and fairness.It can optimize individualized surgical plans preoperatively,provide real-time assistance for key decisions intraoperatively,and conduct refined data review postoperatively,effectively enhancing surgical success rates and reducing compli-cations.In resource-scarce areas,AI also promotes the downward penetration and balanced allocation of high-quality cardiac technologies.Despite ongoing challenges including data quality,algorithmic bias,and legal-ethical issues,the deep integration of AI with cardiac surgery is emerging as a crucial engine for cultivating high-level surgical talents,bringing new opportunities to improve the quality of cardiovascular healthcare in China.
Keywords：Cardiac surgeryTraining systemArtificial intelligenceIntraoperative assistanceTelecollaboration
Publication Date：2025-12-18
Online Publishing Date：2026-09-14(First online date of this platform, not the publication date of the document)
Pages：4( 1868-1871 )