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Contact Details

Email
Tim.Eglinton@cdhb.health.nz
Position
Professor and Head of Department of Surgery and Critical Care (Christchurch)
Department
Department of Surgery and Critical Care (Christchurch)
Qualifications
MBChB MMedSc FRACS FACS FCSSANZ
Research summary
Colorectal surgery

Research

Tim Eglinton is a consultant Colorectal and General Surgeon, Professor in Surgery and Head of the Department of Surgery at the University of Otago, Christchurch.

He also teaches 4th to 6th year medical students.

Professor Eglinton is a member of the ANZ Training Board in Colon and Rectal Surgery and the RACS Surgical Skills Training Committee.

Research interests

  • Inflammatory bowel disease
  • Colorectal cancer
  • Diverticular disease.
  • Publications

    Buchanan, J., Connor, S., Pearson, J., Carey-Smith, B., & Eglinton, T. (2026). Surgical computer vision for intraoperative decision-support: A scoping review on performance metrics and readiness for real-time deployment. Artificial Intelligence Surgery, 6, 150-170. doi: 10.20517/ais.2025.76 Journal - Research Article

    Redman, E. P., Joyce, L., & Eglinton, T. (2026). Investigating the barriers and facilitators to training in the operating theatre. Proceedings of the Australian & New Zealand Association for Health Professional Educators (ANZAHPE) Conference: Weaving Connection Nau te routou, naku te rourou, ka ora ai te iwi. 423. Retrieved from https://www.anzahpe.org Conference Contribution - Published proceedings: Abstract

    Sutherland, J., Helu, T., Waddell, O., Scowcroft, H., & Eglinton, T. (2026). Challenges in diagnosis and treatment of early onset colorectal cancer during pregnancy. ANZ Journal of Surgery, 96(6), 1788-1789. doi: 10.1111/ans.70717 Journal - Research Other

    Pau, S., Eglinton, T., Wang, A., & Fischer, J. (2026). The role of artificial intelligence in pre-operative prediction of completeness of cytoreduction for peritoneal surface malignancies: A scoping review. European Journal of Surgical Oncology, 52, 111480. doi: 10.1016/j.ejso.2026.111480 Journal - Research Other

    Pau, S., Eglinton, T., Wang, A., Mehri-Kakavand, G., & Fischer, J. (2026). CT-based radiomics–clinical machine-learning model to predict completeness of cytoreduction in colorectal peritoneal metastases. Colorectal Disease, 28, e70409. doi: 10.1111/codi.70409 Journal - Research Article

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