Papers
5
Total Citations
29
H-Index
4
About
Feiran Lou is a rising leader in thoracic surgery and simulation-based training, with research focused on enhancing safety and efficiency in robotic-assisted procedures. Her work addresses critical gaps in operating room preparedness, particularly for emergency conversions during robotic surgery. Lou’s major contributions include pioneering the use of high-fidelity in-situ simulations to test and improve team performance during thoracic robotic emergencies, as demonstrated in her 2022 study (13 citations), which provides a replicable framework for clinical systems testing. She also developed the Robotic One Anesthetic Diagnosis and Treatment (ROADAT) program, a novel approach combining robotic navigational bronchoscopy with rapid diagnosis to reduce delays in lung cancer care (5 citations). Her studies on national adoption patterns of robotic thoracoscopic surgery for oncologic resections (4 citations) and robotic surgery training during general surgery residency (1 citation) highlight her commitment to advancing both clinical practice and education. By integrating simulation, systems testing, and innovative care pathways, Lou is shaping safer, more efficient robotic surgery protocols, with growing impact evidenced by her publications’ increasing citation counts and relevance to contemporary surgical challenges.
Research Focus
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Top Papers
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