Yuan Zhang

Dr. Yuan Zhang is a Grant-Funded Researcher at the Adelaide Medical School within the Faculty of Health and Medical Sciences at the University of Adelaide. She holds dual affiliations with the Robinson Research Institute (RRI) and the Australian Institute for Machine Learning (AIML), where she specializes in integrating Artificial Intelligence into medical diagnostics with particular focus on women's reproductive health and endometriosis diagnosis.

Dr. Zhang's research spans several critical areas in medical technology:

• Development of AI models integrating MRI and transvaginal ultrasound data
• Creation of non-invasive diagnostic tools for reproductive health conditions
• Addressing diagnostic delays and accessibility challenges in women's healthcare
• Building anatomical MRI datasets specifically for women's health applications
• Translating AI research into clinically relevant diagnostic solutions

Her work has received significant recognition including the prestigious Eureka Prize for Innovative Use of Technology (2023) for the IMAGENDO® project and the Best Oral Award at ISBI 2023. Dr. Zhang has successfully secured multiple competitive research grants as lead investigator, demonstrating research independence and leadership.

Notable awards and recognitions include:

• Eureka Prize for Innovative Use of Technology (2023)
• Best Oral Award at ISBI 2023

Dr. Zhang has secured substantial research funding including the Lloyd Cox Research Accelerator Grant ($29,122), Lloyd Cox People Support Scheme ($55,515), and the 2025 Surrey–Adelaide Partnership Fund ($20,000) as lead investigator. She also serves as co-Investigator on major collaborative grants including an NHMRC IDEAS Grant ($1.98M) and Australia's Economic Accelerator Seed Grant ($498,291). Eligible to supervise Masters and PhD students as Co-Supervisor, she works closely with clinical professionals to ensure her AI innovations are both technically robust and clinically meaningful.