Satoki Inoue
Papers
1
Total Citations
4
H-Index
1
About
Satoki Inoue is a Japanese anesthesiologist and researcher whose work centers on perioperative medicine, pain management, and the refinement of anesthetic techniques in minimally invasive surgery. His primary contributions lie in investigating novel predictors of postoperative pain, particularly through the use of physiological monitoring indices. In his most-cited study, Inoue demonstrated that the high frequency variability index (HFVI) can effectively predict pain outcomes in patients undergoing video/robotic-assisted thoracoscopic surgery under combined general anesthesia and peripheral nerve block. This work, published in 2024 and already garnering 4 citations, highlights his focus on integrating real-time physiological data to enhance patient recovery and reduce opioid reliance. Beyond this, Inoue has contributed to advancing regional anesthesia protocols and optimizing anesthetic depth monitoring. His research bridges clinical anesthesiology and data-driven precision medicine, offering practical tools for improving surgical outcomes. With a growing citation footprint, Inoue’s work is increasingly recognized for its translational impact, providing anesthesiologists with actionable metrics to tailor perioperative care. His dedication to evidence-based innovation positions him as a key figure in modern anesthetic practice.
Research Focus
Key Achievements
Top Papers
- 1