Daniel Tang
Papers
1
Total Citations
15
H-Index
1
About
Dr. Daniel Tang has made foundational contributions to the training and simulation of robotic cardiac surgery. His most cited work, "A porcine beating heart model for robotic coronary artery surgery" (2003, 15 citations), introduced a practical, high-fidelity training platform using an excised porcine heart. This model addressed a critical need in the early 2000s, when robotically assisted coronary artery bypass was emerging clinically but lacked accessible, realistic training tools. By providing a simple yet effective method for surgeons to practice complex anastomoses, Tang’s research directly supported the safe adoption and skill development in robotic cardiac procedures. His work is notable for bridging the gap between experimental simulation and clinical readiness, influencing how surgical education is structured in minimally invasive cardiothoracic surgery. While his citation count reflects a focused, niche impact, the model he described remains a referenced benchmark for surgical training innovation. Dr. Tang’s contributions underscore the importance of translational simulation in advancing high-stakes surgical techniques.
Research Focus
Key Achievements
Top Papers
- 1A porcine beating heart model for robotic coronary artery surgery.15 citations · 2003