BSc; MD-PhD (enrolled); Graduate Diploma in Biostatistics (enrolled)
Daniel Gould is the first MD student to transition to a formal MD-PhD program at the University of Melbourne. He works within Streams 2 and 3 of the OPUS CRE, namely Risk Prediction and Shared Decision-Making, respectively. Specifically, he is working with experienced clinical researchers, qualitative researchers, and artificial intelligence experts to develop a machine learning-enabled risk prediction tool for total knee replacement recipients while also investigating the views of patients and surgeons on the use of artificial intelligence in healthcare.
Daniel’s long-term research goal is to build artificial intelligence systems and embed them in clinical workflow to improve patient care. A key aspect of this research is involving stakeholders and ensuring their input is valued and prioritized throughout the process.
A Randomized Controlled Trial Comparing a Medial Stabilized Total Knee Prosthesis to a Cruciate Retaining and Posterior Stabilized Design: A Report of the Clinical and Functional Outcomes Following Total Knee Replacement
2018 Australian Orthopaedic Association Joint University Scholarship
Other key roles
OPUS Committee Memberships: OPUS Translation and Engagement; OPUS Consumer Engagement; OPUS Data Link; St Vincent’s Surgical Students’ Society
President, SOMA (Students in Orthopaedic and Musculoskeletal Academia)
Research Assistant, Department of Surgery, University of Melbourne