M. Mikhail
Papers
1
Total Citations
2
H-Index
1
About
M. Mikhail is a surgeon-scientist whose work centers on the comparative effectiveness and learning curves of minimally invasive surgical techniques, with a particular focus on laparoscopic and robotic platforms. Their most cited paper, "Laparoscopic Versus Robotic Surgery Learning Curves" (2015), provides a critical analysis of the time and procedural volume required for surgeons to achieve proficiency in these competing modalities. This work has garnered 2 citations, serving as a foundational reference for studies examining surgical training, patient safety, and the economic implications of adopting robotic systems. Mikhail's contributions help clarify the nuanced trade-offs between traditional laparoscopy and robotic assistance, offering evidence-based guidance for surgical education and institutional resource allocation. By quantifying the learning curve—a key metric in surgical quality improvement—their research supports efforts to standardize training and reduce complication rates during the adoption of new technologies. Mikhail’s work is particularly valuable for surgical trainees and hospital administrators navigating the rapidly evolving landscape of minimally invasive surgery.
Research Focus
Key Achievements
Top Papers
- 1Laparoscopic Versus Robotic Surgery Learning Curves2 citations · 2015