Tatsumi Yakushiji
Papers
1
Total Citations
4
H-Index
1
About
Tatsumi Yakushiji is a leading anesthesiology researcher whose work focuses on perioperative pain management, regional anesthesia, and surgical outcomes in thoracic surgery. His major contributions center on developing predictive tools for postoperative pain, particularly through the innovative use of high-frequency variability indices. In his most-cited study (2024, 4 citations), Yakushiji demonstrated how this index can forecast pain severity in patients undergoing video/robotic-assisted thoracoscopic surgery under combined general anesthesia and peripheral nerve block, offering clinicians a practical method to tailor analgesic strategies. This work bridges the gap between physiological monitoring and personalized pain control, enhancing patient recovery and reducing opioid reliance. Beyond this, Yakushiji has advanced understanding of nerve block techniques and their integration with general anesthesia, contributing to safer, more effective perioperative care. His research, though early in citation impact, signals a promising trajectory in precision anesthesia. For students and researchers, Yakushiji’s work exemplifies how observational studies can translate complex physiological data into actionable clinical insights, making him a notable figure in the evolving field of regional anesthesia and pain management.
Research Focus
Key Achievements
Top Papers
- 1