Alix Bird

Alix Bird

Higher Degree by Research Candidate

School of Public Health

Faculty of Health and Medical Sciences

Dr Alix Bird is a medical doctor and PhD candidate, working in medical artificial intelligence. Their research aims to develop a scalable method of assessing rheumatoid arthritis severity, to aid in early diagnosis, the evaluation of drug efficacy in clinical trials, and decisions regarding therapy escalation.

Alix completed a Bachelor of Medicine and Surgery at the University of Adelaide and worked as a junior doctor at the Royal Adelaide Hospital before moving into AI research. 

Their supervisors are Professor Lyle Palmer, Professor Susanna Proudman and Dr Lauren Oakden-Rayner.

  • Journals

    Year Citation
    2022 McMaster, C., Bird, A., Liew, D. F. L., Buchanan, R. R., Owen, C. E., Chapman, W. W., & Pires, D. E. V. (2022). Artificial Intelligence and Deep Learning for Rheumatologists. Arthritis and Rheumatology, 13 pages.
    2022 Zeng, M., Oakden-Rayner, L., Bird, A., Smith, L., Wu, Z., Scroop, R., . . . Palmer, L. J. (2022). Pre-thrombectomy prognostic prediction of large-vessel ischemic stroke using machine learning: A systematic review and meta-analysis. Frontiers in Neurology, 13, 14 pages.

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