Haoji Gao

About

Haoji Gao is a leading figure in the advancement of minimally invasive endocrine surgery, with a primary focus on refining robotic thyroidectomy techniques. His major contributions center on the bilateral axillo-breast approach (BABA), a method that eliminates visible neck scars. Through meticulous analysis of large patient cohorts, Gao has defined the learning curve for this complex procedure, demonstrating that proficiency is achievable after approximately 220 cases. Furthermore, his work has identified key predictive factors for prolonged operative time in over 359 cases of differentiated thyroid cancer, providing crucial benchmarks for surgical planning and training. With his most-cited paper accumulating 22 citations, Gao’s research provides essential, data-driven guidance for surgeons adopting robotic thyroidectomy. His detailed analyses of operative time and complication rates have directly improved surgical safety and efficiency, establishing him as a key authority on optimizing outcomes and shortening the learning curve for this innovative, scarless approach to thyroid surgery.

Research Focus

Key Achievements

Top Papers

1. 1
   Robotic thyroidectomy via bilateral axillo-breast approach: Experience and learning curve through initial 220 cases

   22 citations · 2019
2. 2
   Predictive factors for prolonged operative time of robotic thyroidectomy via bilateral axillo-breast approach: Analysis of 359 cases of differentiated thyroid cancer

   2 citations · 2021

Key Collaborators

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