Daphne Remulla
Papers
3
Total Citations
317
H-Index
3
About
Daphne Remulla is a leading researcher at the intersection of artificial intelligence, robotic surgery, and urology. Her work focuses on how AI can transform clinical practice—from diagnosis and treatment to outcome prediction—and on developing objective methods to assess surgical technical skills. In her highly cited 2019 study (199 citations), she systematically investigated AI applications in urology, demonstrating their potential to outperform traditional models. Her 2018 systematic review (115 citations) on robotic surgical skill assessment provided a critical framework for evaluating technical proficiency, identifying current challenges and future needs in the field. Most recently, she has expanded into comparative effectiveness research, with a 2025 multicenter propensity-matched analysis comparing robotic to open ventral hernia repair. Remulla’s contributions are shaping how surgeons train, how robotic systems are evaluated, and how AI is integrated into urological care—making her work essential reading for anyone interested in the future of surgical innovation and data-driven medicine.
Research Focus
Key Achievements
Top Papers
- 1
- 2Objective Assessment of Robotic Surgical Technical Skill: A Systematic Review115 citations · 2018
- 3