Fatih Tunca
Papers
3
Total Citations
21
H-Index
2
About
Fatih Tunca is a pioneering endocrine surgeon whose research sits at the intersection of artificial intelligence and minimally invasive surgery. His most impactful work focuses on leveraging deep learning algorithms to enhance surgical precision, particularly in adrenal and thyroid procedures. In his landmark 2023 study on left adrenalectomy, Tunca demonstrated how AI can identify the left adrenal vein with remarkable accuracy—a critical step for reducing complications—garnering 12 citations and establishing a new frontier in computer-assisted surgery. He extended this approach to right adrenalectomy in 2022024, further validating AI’s role in real-time anatomical navigation. Beyond AI, Tunca has advanced scarless surgery through his work on pure transoral robotic thyroidectomy (TORT), reporting early institutional outcomes that minimize visible scarring while maintaining safety. With a growing citation footprint, Tunca’s contributions are shaping the future of endocrine surgery by merging robotics, deep learning, and patient-centered innovation. His work not only improves operative outcomes but also lays the groundwork for autonomous surgical assistance, making him a key figure in the next generation of smart, minimally invasive procedures.
Research Focus
Key Achievements
Top Papers
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