The ARC Training Centre in Cognitive Computing for Medical Technologies aims to create a workforce that is expert in developing, applying and interrogating cognitive computing technologies in data-intensive medical contexts. This will facilitate the next generation of data-driven and machine learning-based medical technologies.
The Centre will provide a world-class industry-driven research training environment for PhD students and postdoctoral researchers. These researchers will lead the medical technology industry into a new era of data-driven personalised and precision medical devices and applications.
The Centre will result in the development of capabilities in the core technologies of machine learning and the practical application of cognitive computing in the area of health.
The RMIT team is focused on NLP (Natural Language Processing)-based Clinical Support.
Medicine knowledge is increasing exponentially, and it is the job of the clinician to continually stay abreast of the latest medical findings. Clinicians make use of the most recent diagnostic tools and use these to optimise a treatment plan based on the best medical knowledge available. However, it is unrealistic to expect a clinician to have perfect knowledge of all medical literature. A more realistic solution is to provide data-driven MedTech solutions that enable intelligent querying of the literature to extract just-in-time clinical knowledge, and focus on the needs of the patient.
This extends beyond direct interpretation of the text, to the detection of conflicting results across papers, potentially to arrive at novel conclusions specific to an undocumented set of symptoms. This project aims to achieve this through the application of NLP to the medical literature, bringing together the world-leading expertise in biomedical text mining at both UoM and IBM Research-Australia.