FRCS(T&O), MBChB(Hons), BSc(Intercalated)
SCREDS Clinical Lecturer
- About
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- Email Address
- luke.farrow@abdn.ac.uk
- School/Department
- School of Medicine, Medical Sciences and Nutrition
Biography
I am a current Speciality Trainee in Trauma & Orthopaedics on the North of Scotland rotation, as well as a SCREDS Clinical Lecturer with the University of Aberdeen.
I have a long standing interest in research, having previously graduated from the Academic Foundation Programme and also the Aberdeen Clinical Academic Training programme during my medical training. I also undertook an intercalated degree at Loughborough University whilst a medical student where I achieved first class honours.
My primary research interests include the use of Artificial Intelligence and other data driven techniques to improve outcomes for orthopaedic patients, particularly focusing on lower limb arthroplasty and trauma.
I have recently completed a CSO Clinical Academic Fellowship which ran from August 2021-2024. This focused on developing potential improvements in clinical care pathways regarding those referred for hip and knee replacement surgery, utilising data-linkage and Artificial Intelligence techniques.
I am the current British Orthopaedic Association Elective Orthopaedics Associate Sub-Speciality Lead and Data Quality Lead for the Bone and Joint Infection Registry.
I am always happy to be contacted for potential project ideas or collaboration.
Qualifications
- BSc Sports & Exercise Science2012 - University of Loughborough
- MBChB Medicine & Surgery2013 - University of Liverpool
- MRCS(Ed) Surgery2016 - Royal College of Surgeons Edinburgh
- FRCS(T&O) Trauma and Orthopaedics2025 - Royal College of Surgeons Edinburgh
- Research
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Research Overview
My current research interests spread across several core themes related to Trauma and Orthopaedics. These include:
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Big Data & Artificial Intelligence: AI-facilitated patient triage, prioritisation of surgical waiting lists, remote patient monitoring, generative AI for clinical use and digital twins.
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Surgical Robotics & Precision Medicine: Clinical evaluation of robotic surgery and imaging modalities.
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Digital Innovation: Digital wound monitoring, smartphone technologies, novel medtech applications.
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Imaging: Advanced radiostereometric analysis, low-field MRI, radiological phenotyping and integration of imaging with AI models.
- Infection - prevention and treatment of musculoskeletal infection.
Research Areas
Accepting PhDs
I am currently accepting PhDs in Applied Health Sciences, Nutrition and Health, Artificial Intelligence.
Please get in touch if you would like to discuss your research ideas further.
Applied Health Sciences
Accepting PhDsNutrition and Health
Accepting PhDs
Artificial Intelligence
Accepting PhDsResearch Specialisms
- Artificial Intelligence
- Databases
- Health Informatics
- Health Policy
- Orthopaedics
Our research specialisms are based on the Higher Education Classification of Subjects (HECoS) which is HESA open data, published under the Creative Commons Attribution 4.0 International licence.
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