Sergio Navarro
sergio.navarro@ndorms.ox.ac.uk
Oxford Orthopaedic Engineering Centre
Lavy Group | Global Surgery
Visiting Research Assistant
Sergio Navarro graduated with a Bachelor of Science in Mechanical Engineering and a Bachelor of Science in Ancient and Medieval Studies from the Massachusetts Institute of Technology. He subsequently worked in industry in advanced data analytics in New York City before pursuing a medical degree at the Baylor College of Medicine, focusing on global health care innovation and the mechanics of human motion.
At Oxford, he is principally interested in studying the strategy of innovation behind medical device research in orthopedic surgery, including the strategic design and development of the Oxford Knee. He is also exploring the use of ultrasound technology to track clubfoot correction in a global health care setting.
Evaluation of the volume-value relationship in hip fracture care using evidence-based thresholds.
Navarro SM. et al, (2020), Hip int, 30, 347 - 353
Artificial Intelligence and Machine Learning in Lower Extremity Arthroplasty: A Review.
Haeberle HS. et al, (2019), J arthroplasty, 34, 2201 - 2203
Deep Learning Preoperatively Predicts Value Metrics for Primary Total Knee Arthroplasty: Development and Validation of an Artificial Neural Network Model.
Ramkumar PN. et al, (2019), J arthroplasty, 34, 2220 - 2227.e1
Predicting Inpatient Payments Prior to Lower Extremity Arthroplasty Using Deep Learning: Which Model Architecture Is Best?
Karnuta JM. et al, (2019), J arthroplasty, 34, 2235 - 2241.e1