Aaron Milhorn
Papers
1
Total Citations
2
H-Index
1
About
Dr. Aaron Milhorn is a pioneering researcher at the intersection of surgical data science and pulmonary medicine, whose work is redefining how we analyze and improve complex medical procedures. His primary research focuses on statistical surgical process modeling, with a specific emphasis on bronchoscopy and lung cancer diagnostics. Dr. Milhorn’s major contribution lies in developing quantitative frameworks to objectively measure and compare surgical performance and workflow across different clinical approaches, such as fluoroscopy-guided radial probe EBUS and CBCT-guided robot-assisted bronchoscopy. By applying rigorous statistical methods to procedural data, his work provides unprecedented insights into the efficiency and variability of transbronchial biopsy techniques, directly impacting patient care. His most-cited paper (2025, 2 citations) is already establishing a foundation for this emerging field, demonstrating a novel methodology for modeling surgical processes. This achievement highlights his role as a leading voice in the push toward data-driven, evidence-based improvements in interventional pulmonology, promising to enhance both training and patient outcomes in the fight against lung cancer.
Research Focus
Key Achievements
Top Papers
- 1