Prof Justin Yeung
Acting Head of Department, Surgery
Melbourne Medical School
179 Scholarly works
8 Projects
HIGHLIGHTS
2026
Journal article
Author Correction: Predicting opioid consumption after surgical discharge: a multinational derivation and validation study using a foundation model (npj Digital Medicine, (2025), 8, 1, (547), 10.1038/s41746-025-01798-6)
DOI: 10.1038/s41746-026-02749-52026
Journal article
Prognostic impact of myosteatosis on postoperative outcomes and survival in colorectal cancer: a systematic review
DOI: 10.1007/s00384-025-05061-y2026
Journal article
Utilisation of intramuscular and intermuscular fat to develop a new skeletal muscle grading score which can predict treatment outcomes for locally advanced rectal cancer
DOI: 10.1007/s00384-026-05106-w2026
Journal article
Aligning with optimal care pathways for people with colon cancer: Clinical, survival and cost implications across socioeconomic and geographic populations in Australia
DOI: 10.1016/j.healthpol.2026.1056912026
Research grants (other domestic)
Universal Platform for Tissue Regeneration and Healing: Addressing Nerve Injury
2025
Research grants (other domestic)
An Artificial Intelligence Digital Health Tool to Predict at Risk Colorectal Cancer Patients, Providing Them With Precision Treatment.
2020
Research Contracts
Salary Contribution - Ci Justin Yeung 20/20
RECENT SCHOLARLY WORKS
2026
Journal article
A prospective cohort study protocol on sequential compression alone for the prevention of venous thromboembolism (VTE) in laparoscopic cholecystectomy.
DOI: 10.1097/SP9.00000000000000682026
Journal article
Artificial Intelligence Models Using Magnetic Resonance Imaging to Predict Response to Chemoradiotherapy in Rectal Cancer: A Systematic Review
DOI: 10.1111/ans.707242026
Journal article
Methods and Timing of the Assessment of Post-Operative Pain in Minimally Invasive Hernia Surgery: A Scoping Review Comparing Robotic With Laparoscopic Repair
DOI: 10.1111/ans.706652026
Journal article
Long-Term Health and Economic Impacts of COVID-19 Disruptions on Bowel Cancer Inequalities in Victoria, Australia: A Modelling Study
DOI: 10.1002/cam4.718162026
Journal article
Can Splenic Characteristics Predict Rectal Cancer Chemotherapy Toxicity and Treatment Outcomes in Rectal Cancer Patients?
DOI: 10.1159/0005517032026
Journal article
Radiomic Artificial Intelligence Models Predicting the Response of Colorectal Cancer Liver Metastases to Chemotherapy—A Systematic Review
DOI: 10.1111/ans.70412
RECENT PROJECTS
2023
Internal Research Grant
AI 3D Body Composition and Predictive Chemotherapy Toxicity Tools
2023
Research Grant
AI 3D Body Composition and Predictive Chemotherapy Toxicity Tools