Papers
3
Total Citations
28
H-Index
3
About
Feng Dai is a clinical researcher whose work centers on perioperative monitoring and surgical outcomes, with a particular focus on tissue oxygenation and minimally invasive thoracic surgery. His research explores the clinical utility of near-infrared spectroscopy (NIRS) to measure muscular, cerebral, and somatic tissue oxygen saturation during surgery. In his most cited paper (16 citations), Dai investigated the relationship between muscular tissue oxygen saturation during robotic hysterectomy and postoperative nausea and vomiting, identifying potential therapeutic thresholds that could guide clinical decision-making. He has also examined whether cerebral and somatic tissue oxygen saturation measurements correlate during surgery, contributing to the broader understanding of non-invasive monitoring techniques. Additionally, Dai has conducted comparative studies on surgical approaches for non-small cell lung cancer, evaluating short-term outcomes between da Vinci robot-assisted thoracoscopic surgery (RATS) and video-assisted thoracoscopic surgery (VATS). His work bridges the gap between physiological monitoring and surgical practice, offering insights that may improve patient recovery and reduce postoperative complications. With a growing citation record, Dai’s research continues to inform perioperative care and the advancement of precision surgical techniques.
Research Focus
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