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.
Connect With Me
External Profiles
