Justin Dhyani
Papers
1
Total Citations
3
H-Index
1
About
Justin Dhyani is a bariatric surgeon and researcher whose work critically examines the efficiency and outcomes of robotic-assisted bariatric surgery. His most-cited paper, “The longitudinal inefficiency of robotic bariatric surgery: can we finally agree we are over the learning curve and robotic bariatric surgery just takes longer?” (2025, 3 citations), challenges prevailing assumptions about the benefits of robotic platforms in metabolic surgery. Dhyani’s research focuses on operative time, cost-effectiveness, and the learning curve in bariatric procedures, providing data-driven insights that help surgeons and institutions make evidence-based decisions about adopting robotic technology. By highlighting persistent inefficiencies even after the learning curve, his work contributes to ongoing debates about the true value of robotics in surgery. Dhyani’s contributions are particularly relevant for trainees and practicing surgeons seeking to optimize patient outcomes while managing resource allocation. His findings encourage a more nuanced view of surgical innovation, emphasizing that technological advancement must be weighed against practical, longitudinal performance metrics.
Research Focus
Key Achievements
Top Papers
- 1