Artificial Intelligence (AI) is transforming the domain of research. Frontier technologies have become ubiquitous, and continuously increase in their sophistication. SU staff have been encouraged to adopt digital tools, develop AI literacy, and to explore the utility of AI across the domains of learning and teaching, clinical practice, business processes, and research. All staff and students are warmly invited to join campus conversations on AI.

The Faculty of Medicine and Health Sciences (FMHS) is home to researchers who have looked beyond the low-hanging fruit of Large Language Models (LLMs) as support for reading and writing, to those AI-tools that augment and exceed human capacity in analytics, experimentation, and clinical care. AI is bringing about significant shifts in the scope of health research and the pace of discovery. 

AI is also accelerating collaboration between clinicians, biomedical scientists, data scientists, engineers, ethicists, social scientists, legal scholars, and health systems researchers, creating new opportunities for interdisciplinary and transdisciplinary approaches to the most pressing challenges facing society. As AI becomes increasingly embedded within research ecosystems, collaboration that cuts across faculty and sector silos is as important as domain expertise itself.

To acknowledge and support our research community on this journey, FMHS Research and Internationalisation Development and Support (RIDS) brings you this collection of use cases. Meet researchers employing or studying AI technologies, find entry points for your own literacy and exploration, and access institutional guidelines on the use of AI.