Anthony Fung
Papers
1
Total Citations
4
H-Index
1
About
Anthony Fung is a cardiovascular surgeon whose work focuses on advancing minimally invasive coronary artery bypass techniques, with a particular emphasis on preoperative imaging and patient selection. His research centers on using computed tomography angiography to predict anatomical challenges in robotically assisted minimally invasive direct coronary artery bypass (MIDCAB), aiming to reduce the need for sternotomy. His most cited paper, "A Novel Approach Using Computed Tomography Angiograms to Predict Sternotomy Or Complicated Anastomosis in Patients Undergoing Robotically Assisted Minimally Invasive Direct Coronary Artery Bypass" (2018), introduces a method for identifying the left anterior descending artery when it is deeply embedded in epicardial fat—a key obstacle in small-incision surgery. Though his citation count is modest, his work addresses a critical gap in preoperative planning, potentially improving outcomes for patients who might otherwise require more invasive procedures. Fung’s contributions are particularly valuable for surgeons and researchers exploring the intersection of imaging and robotic-assisted cardiac surgery, offering a pathway to safer, less invasive interventions.
Research Focus
Key Achievements
Top Papers
- 1