Mauro Giambusso
Papers
2
Total Citations
21
H-Index
2
About
Mauro Giambusso is a rising researcher at the intersection of artificial intelligence and orthopedic surgery, with a focus on improving surgical outcomes through data-driven technologies. His work spans two critical areas: the application of AI in acute care diagnosis and the refinement of robotic-assisted joint replacement techniques. In his 2024 narrative review on artificial intelligence in acute appendicitis, Giambusso demonstrates how machine learning can analyze vast clinical datasets to enhance diagnostic accuracy and treatment decision-making—a contribution that has already garnered 17 citations for its timely synthesis of emerging technologies. Simultaneously, his investigation into mid-flexion instability during robotic-assisted total knee arthroplasty addresses a persistent challenge in joint replacement, where even advanced surgical systems struggle with patient satisfaction. By highlighting the ambiguity in diagnostic criteria for mid-flexion instability, his work (4 citations) lays crucial groundwork for developing standardized assessment protocols. Giambusso’s dual focus on leveraging AI for acute surgical conditions while refining robotic precision in elective procedures positions him at the forefront of orthopedic innovation, where computational tools are reshaping both emergency and elective surgical care.
Research Focus
Key Achievements
Top Papers
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- 2