Contributions to Medical Science

Research and Academia

Research and Academia

Pioneering Research in Orthopaedics

I lead a team of researchers in trauma and orthopaedics at St George’s Hospital. With my work as a professor I oversee national clinical trials in the department and mentor new researchers with their research projects.

I sit on national research committees, I am the research chair for AOUKI and am part of the Orthopaedic Trauma Society research committee. I am the editor for The Knee journal and enjoy encouraging new researchers to take part in research projects.

My research interests include both basic science and clinical trials with collaborative projects involving local, national and international groups.

I am the chief investigator leading a study on the use of virtual reality in wide awake hand surgery, having designed a study to test the feasibility of the use of virtual reality in headsets, I involved a team of clinicians, physiotherapists and junior researchers in the first use of relaxation videos in our day case patients at St George’s Hospital. This study won the best medical student abstract prize at the British Orthopaedic Annual conference in 2020.

My work on vascular injuries in open tibial fractures has resulted in CT angiograms being used routinely for patients with open fractures presenting at St George’s Hospital. This was a collaborative project with the emergency department (ED), Vascular Surgery and Radiology completed in 2017.

I am the chief investigator and have formed a collaboration with Imperial College funded by grants investigating why the kneecaps dislocates. This research comprises modelling the anatomy of the patella. We have shown that a low cost scanner can be used to model the knee. We have published a paper showing the medial patellofemoral ligament (MPFL) is an ‘hourglass’ shape.

Using artificial intelligence to investigate paediatric fractures, I am the chief investigator and have formed a collaboration with radiology and with computer scientists at Kingston to develop an AI algorithm to diagnose paediatric fractures to reduce the risk of missed injuries and streamline patient pathways. The study has collected data on 5000 XRs for analysis.

A list of my publications can be found here: