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Emergency Medicine Australasia : EMA|July 29, 2026
The Sydney Triage to Admission Risk Tool With Artificial Intelligence (START-AI) to Support Decision Making in Emergency Departments: Model Explainability and Feature Importance AnalysisMichael Dinh, Elizabeth Corbett, Thuy Truc Ngo, et al.
Emergency Medicine Australasia : EMA|September 3, 2026
Criteria for Safe Hospital Discharge in Bronchiolitis: A Systematic ReviewMeredith L Borland, Kate Loveys, Franz E Babl, et al.
Emergency Medicine Australasia : EMA|September 3, 2026
Using Sydney Triage to Admission Risk Tool With Artificial Intelligence (START-AI) to Predict Inpatient Admitting Specialty for Emergency Department Patients: Single Centre Deep Learning AnalysisMichael Dinh, Elizabeth Corbett, Thuy Truc Ngo, et al.
Emergency Medicine Australasia : EMA|July 31, 2026
Vaccine Preventable Diseases in the Emergency DepartmentDaphne Cohen, Emefa Kporku
Emergency Medicine Australasia : EMA|September 9, 2026
Toxicological and Clinical Characteristics of Fatal Cases in the Emerging Drugs Network of Australia-Victoria (EDNAV) Clinical Registry 2020-2025James White, Sarah J Hampton, Shaun Greene
Emergency Medicine Australasia : EMA|September 16, 2026
Medicolegal Statements by Emergency Clinicians: 'A How' to GuideAnne-Maree Kelly, Michael Eburn
Emergency Medicine Australasia : EMA|November 22, 2021
Characteristics of patients with COVID-19 hospitalised in South Australia during the first wave of the pandemicJustin Boyle, Ross Sparks
Emergency Medicine Australasia : EMA|November 22, 2021
Syndromic surveillance to detect disease outbreaks using time between emergency department presentationsJustin Boyle, Ross Sparks
Emergency Medicine Australasia : EMA|November 13, 2021
Association between intravenous fluid resuscitation and outcome among patients with suspected infection and sepsis: A retrospective cohort studyGladis Kabil, Sophie Liang, Anthony Delaney, et al.
Emergency Medicine Australasia : EMA|November 24, 2018
The Sydney Triage to Admission Risk Tool (START2) using machine learning techniques to support disposition decision-makingKathryn Rendell, Irena Koprinska, Andre Kyme, et al.
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