Research

Research forms the backbone of advancement in cardiothoracic surgery, driving evidence-based improvements in patient outcomes, surgical techniques, and post-operative care. In a field where precision can mean the difference between life and death, rigorous scientific investigation ensures that surgical practices evolve based on solid data rather than tradition alone. My research portfolio spans from AI-assisted cardiac rehabilitation (RECAP trial) to deep learning applications in lung cancer diagnosis, systematic reviews of surgical approaches in thymoma patients, and analysis of lymph node metastasis patterns in non-small cell lung cancer. This diverse body of work demonstrates how modern cardiothoracic surgery increasingly relies on interdisciplinary collaboration, incorporating artificial intelligence, advanced imaging techniques, and large-scale data analysis to optimize patient selection, predict outcomes, and develop personalized treatment strategies that ultimately save lives and improve quality of care.