Ana Cho
Papers
1
Total Citations
4
H-Index
1
About
Ana Cho is a pioneering researcher in the intersection of anesthesiology and artificial intelligence, with a primary focus on perioperative hemodynamic monitoring and robotic surgery safety. Her most influential 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: preventing dangerous blood pressure fluctuations during robotic lower abdominal procedures. By developing a deep learning model that predicts blood pressure changes induced by CO₂ insufflation and steep Trendelenburg positioning, Cho has provided a novel tool for real-time risk assessment in the operating room. This contribution is especially significant given that intraoperative hypertension and BP variability are linked to adverse patient outcomes. Her research bridges the gap between complex surgical physiology and machine learning, offering a data-driven approach to enhance patient safety during minimally invasive robotic surgeries. Cho’s work represents a vital step toward integrating predictive analytics into anesthesia practice, making her a key figure in the emerging field of AI-assisted perioperative medicine.
Research Focus
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Top Papers
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