Martin Curry

Johns Hopkins Hospital

Papers

3

Total Citations

86

H-Index

3

About

Martin Curry is a pioneering researcher in the field of robotic-assisted head and neck surgery, with a primary focus on transoral and endolaryngeal procedures. His major contributions center on developing and validating training regimens and novel robotic platforms to improve surgical precision and education. Curry’s most cited work, “Objective assessment in residency‐based training for transoral robotic surgery” (2012, 52 citations), established a structured, skill-based training curriculum for otolaryngology residents, integrating objective metrics to assess proficiency in robotic surgery. This work has been instrumental in shaping modern surgical education, ensuring trainees achieve competency before operating on patients. Additionally, Curry co-developed the Robotic Endolaryngeal Flexible (Robo-ELF) scope, a groundbreaking robotic scope driver with three active and two passive degrees of freedom, designed for minimally invasive laryngeal surgery. His preclinical feasibility study (2011, 17 citations) and subsequent work on the Robo-ELF as a robotic assistant for trans-oral surgery (2011, 17 citations) demonstrated the potential of this technology to enhance visualization and dexterity in confined anatomical spaces. Curry’s research bridges the gap between surgical robotics and clinical training, with his citation counts reflecting growing interest in objective assessment and robotic innovation in otolaryngology. His work continues to influence how surgeons are trained and how robotic tools are deployed in delicate head and neck procedures.

Research Focus

Key Achievements

3
H-Index
3
Papers
86
Total Citations
29
Avg Citations/Paper
🏆 Most Cited Paper
Objective assessment in residency‐based training for transoral robotic surgery
52 citations · 2012
📈 Most Prolific Year: 2011 (2 Papers)
🤝 Key Collaborators: 18
🏛 Institutions: Johns Hopkins Hospital

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago