فهرست نشریات علمی دسترسی آزاد ایران

Cardiovascular diseases remain a leading cause of mortality and hospitalization worldwide, demanding continuous improvements in surgical care. While effective, traditional open-heart surgery involves significant trauma, prolonged recovery, and high complication risks. This review explores the integration of the Da Vinci robotic surgical system with artificial intelligence (AI) to enhance the safety and precision of cardiac procedures, aiming to overcome manual surgery limitations such as hand tremors and restricted visualization. The study reviews the Da Vinci system's core components—the ergonomic surgeon's console, patient-side robotic arms, and 3D high-definition vision tower—and investigates how AI algorithms augment these tools through real-time decision support, automated tremor filtration, instrument tracking, and preoperative 3D anatomical modeling. Evidence indicates that this combined approach significantly reduces surgical errors, minimizes bleeding and postoperative pain, and shortens hospital stays. The system demonstrates superior dexterity in complex cardiac operations, including mitral valve repair and coronary artery bypass grafting, while also extending its applicability to other delicate surgical fields such as colorectal, thoracic, and gynecological procedures. Ultimately, the fusion of robotic platforms with artificial intelligence represents a transformative advancement in cardiac surgery, providing surgeons with enhanced visualization, ergonomic comfort, and intelligent data-driven assistance. This technology not only mitigates the risks associated with conventional manual interventions but also establishes a new benchmark for minimally invasive, highly precise surgical care. Furthermore, ongoing developments in machine learning and autonomous robotic assistance promise to further refine surgical outcomes and broaden the clinical scope of robotic-assisted cardiac interventions in the near future.