Daniyal Mansoor Ali
Papers
1
Total Citations
31
H-Index
1
About
Daniyal Mansoor Ali is a rising leader in orthopedic spine surgery, with a focused expertise in cost-effectiveness and surgical innovation for spinal fusion procedures. His research centers on the economic and clinical optimization of minimally invasive techniques, particularly transforaminal lumbar interbody fusion (TLIF). Ali’s most cited work, a 2024 study with 31 citations, pioneers the use of time-driven activity-based costing to compare the marginal intraoperative costs of robot-assisted, navigation-guided, and freehand pedicle screw placement during TLIF. This landmark analysis provides surgeons and hospital administrators with actionable data on resource allocation, demonstrating that robotic and navigation technologies can be cost-competitive when factoring in operative time and implant efficiency. By quantifying the real-world financial impact of advanced surgical tools, Ali bridges the gap between technological adoption and value-based care. His contributions are especially notable for challenging assumptions about the expense of robotic assistance, offering evidence that supports its broader implementation. As a researcher, Ali is shaping the future of spine surgery by ensuring that innovation is both clinically effective and economically sustainable—a critical perspective for students and practitioners navigating the evolving landscape of surgical technology.
Research Focus
Key Achievements
Top Papers
- 1