Efstratios Koletsis
Papers
2
Total Citations
80
H-Index
2
About
Efstratios Koletsis is a pioneering cardiothoracic surgeon and researcher whose work bridges the cutting edge of artificial intelligence with the precision of cardiac surgery. His landmark 2025 paper, "Artificial Intelligence in Cardiac Surgery: Transforming Outcomes and Shaping the Future," has already garnered 52 citations, establishing him as a leading voice in the integration of AI into surgical practice. Koletsis explores how machine learning and predictive analytics can enhance preoperative planning, intraoperative decision-making, and postoperative care, ultimately improving patient outcomes and operational efficiency. Beyond AI, he has made significant contributions to thoracic surgery, particularly through his influential 2017 study on retrosternal goitre, which has earned 28 citations. This work clarifies the critical role of thoracic surgeons in managing complex cases where a cervical approach alone is insufficient, often requiring sternotomy or thoracotomy. Koletsis’s research is characterized by its translational impact, directly informing surgical protocols and training. His dual focus on technological innovation and clinical expertise positions him as a transformative figure in modern cardiothoracic surgery, inspiring a new generation of surgeons to embrace data-driven, patient-centered care.
Research Focus
Key Achievements
Top Papers
- 1
- 2Retrosternal goitre: the role of the thoracic surgeon28 citations · 2017