Kardiochirurgia i Torakochirurgia Polska

Abstract

2/2026 vol. 23
Review paper

The evolution of cardiothoracic surgery training: from apprenticeship to AI-assisted simulation

  1. Department of Cardiothoracic and Vascular Surgery, Westpfalz Klinikum, Kaiserslautern, Germany

  2. Second Department of Surgery, Medical School, Democritus University of Thrace, Alexandroupolis, Greece

  3. Department of Cardiothoracic Surgery, Faculty of Medicine, University of Thessaly, Biopolis, Larissa, Greece

  4. Department of Electrical and Computer Engineering, Democritus University of Thrace, Xanthi, Greece

  5. Department of Oncology, General University Hospital of Patras, Greece

  6. John Radcliffe Hospital Emergency Department, University Hospitals NHS Foundation Trust, Headley Way, Headington, Oxford OX3 9DU, UK

  7. Department of Vascular Surgery, General University Hospital of Patras, Greece

  8. Department of Surgery, General Hospital of Eastern Achaia - Unit of Aigio, Greece

  9. Department of Cardiac Surgery, Ippokrateio General Hospital of Athens, Greece

Kardiochirurgia i Torakochirurgia Polska 2026; 23 (2): 142-162

Online publish date: 2026/07/21
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A highly structured, technologically advanced educational paradigm has replaced the unstructured apprenticeship approach in the training of cardiothoracic surgeons. Early surgical education, which was historically based on the “see one, do one, teach one” principle, mostly depended on one-on-one mentoring and varying operative exposure, with the shortcomings of conventional training becoming more obvious as cardiothoracic surgery developed into a unique, high-stakes specialty requiring extraordinary technical accuracy and judgment. This evolution led to the implemention of standardized curricula, competency-based assessments, and simulation-based learning to ensure consistent skill acquisition and patient safety. In an increasingly digitized and globalized world, personalized learning pathways, objective skill evaluation, and remote training access are all made possible by recent developments in virtual reality (VR), artificial intelligence (AI), and real-time data analytics, further changing surgical education and thereby shaping the future of surgical proficiency.

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