You Jin Kang

About

You Jin Kang is a researcher at the forefront of applying artificial intelligence to anesthesiology and perioperative medicine. Her primary research focuses on the development of deep learning models to predict intraoperative hemodynamic changes, particularly blood pressure fluctuations, during complex surgical procedures. Her most cited work, "Prediction of blood pressure changes associated with abdominal pressure changes during robotic laparoscopic low abdominal surgery using deep learning" (2022, 4 citations), addresses a critical clinical challenge: the dangerous blood pressure instability caused by CO₂ insufflation and steep Trendelenburg positioning in robotic surgery. By creating predictive algorithms, Kang’s research aims to enhance patient safety by enabling proactive, rather than reactive, blood pressure management. This work represents a significant step toward integrating machine learning into real-time surgical decision-making. Her contributions are particularly valuable in the growing field of robotic surgery, where physiological stressors are unique and often unpredictable. Kang’s research not only demonstrates the potential of AI to improve anesthesia care but also provides a foundation for future studies on predictive monitoring in high-risk surgical settings.

Research Focus

Key Achievements

Top Papers

1. 1
   Prediction of blood pressure changes associated with abdominal pressure changes during robotic laparoscopic low abdominal surgery using deep learning

   4 citations · 2022

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