Papers
6
Total Citations
57
H-Index
5
About
Antonio Mazzella is a thoracic surgeon whose research sits at the intersection of minimally invasive surgery, robotic-assisted techniques, and surgical innovation in lung cancer management. His work has made significant contributions to understanding the clinical, physiological, and technical dimensions of robotic thoracic surgery, with a particular focus on non-small cell lung cancer (NSCLC). Among his most notable achievements, Mazzella has pioneered research into surgeon stress physiology, examining how robotic versus open surgical approaches affect the autonomic nervous system of operating surgeons — a largely unexplored dimension of surgical science that has garnered 16 citations. His comparative outcomes studies between robotic-assisted (RATS), video-assisted (VATS), and open thoracotomy approaches have provided valuable long-term evidence guiding surgical decision-making. His landmark single-center series documenting 1,000 robotic lobectomies over 16 years stands as a testament to deep institutional expertise. Mazzella has also explored the learning curve associated with robotic lobectomy and extended robotic techniques to complex stage IIIA-N2 disease following induction therapy. His more recent work ventures into artificial intelligence applications in lung cancer care, signaling a forward-looking research trajectory with broad implications for the future of thoracic oncology.
Research Focus
Key Achievements
Top Papers
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