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Jonathon Stewart
Jonathon Stewart
在 research.uwa.edu.au 的电子邮件经过验证
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引用次数
引用次数
年份
Artificial intelligence and machine learning in emergency medicine
J Stewart, P Sprivulis, G Dwivedi
Emergency Medicine Australasia 30 (6), 870-874, 2018
1642018
Applications of machine learning to undifferentiated chest pain in the emergency department: A systematic review
J Stewart, J Lu, A Goudie, M Bennamoun, P Sprivulis, F Sanfillipo, ...
PloS one 16 (8), e0252612, 2021
392021
Western Australian medical students’ attitudes towards artificial intelligence in healthcare
J Stewart, J Lu, N Gahungu, A Goudie, PG Fegan, M Bennamoun, ...
PloS one 18 (8), e0290642, 2023
162023
Artificial intelligence‐enhanced echocardiography in the emergency department
JE Stewart, A Goudie, A Mukherjee, G Dwivedi
Emergency Medicine Australasia 33 (6), 1117-1120, 2021
132021
Performance of multilabel machine learning models and risk stratification schemas for predicting stroke and bleeding risk in patients with non-valvular atrial fibrillation
J Lu, R Hutchens, J Hung, M Bennamoun, B McQuillan, T Briffa, F Sohel, ...
Computers in Biology and Medicine 150, 106126, 2022
102022
Medical Specialties Involved in Artificial Intelligence Research: Is There a Leader
JE Stewart, FJ Rybicki, G Dwivedi
Tasman Medical Journal 2 (1), 20-27, 2020
82020
The effect of guideline implementation on discharge analgesia prescribing (two years on)
JE Stewart, PH Tuffin, J Kay, AHT Mohamad, KL Ritchie, G Muthukuda, ...
Anaesthesia andIntensive Care 47 (1), 40-44, 2019
82019
Applications of natural language processing at emergency department triage: A narrative review
J Stewart, J Lu, A Goudie, G Arendts, SA Meka, S Freeman, K Walker, ...
PloS one 18 (12), e0279953, 2023
5*2023
Attitudes towards artificial intelligence in emergency medicine
J Stewart, S Freeman, E Eroglu, N Dumitrascu, J Lu, A Goudie, P Sprivulis, ...
Emergency Medicine Australasia 36 (2), 252-265, 2024
42024
Deep learning model to predict exercise stress test results: Optimizing the diagnostic test selection strategy and reduce wastage in suspected coronary artery disease patients
J Lu, J Stewart, M Bennamoun, A Goudie, J Eshraghian, A Ihdayhid, ...
Computer Methods and Programs in Biomedicine 240, 107717, 2023
32023
AI in Emergency Medicine
J Stewart, A Goudie, J Lu, G Dwivedi
AI in Clinical Medicine: A Practical Guide for Healthcare Professionals, 117-128, 2023
12023
Postoperative temporomandibular joint dislocation reduced by the syringe technique
JE Stewart, TL Strickland
Anaesthesia and Intensive Care 49 (6), 497-498, 2021
12021
Predicting multifaceted risks using machine learning in atrial fibrillation: insights from GLORIA-AF study
J Lu, A Bisson, M Bennamoun, Y Zheng, FM Sanfilippo, J Hung, T Briffa, ...
European Heart Journal-Digital Health 5 (3), 235-246, 2024
2024
Multitask Deep Learning for Accurate Risk Stratification and Prediction of Next Steps for Coronary CT Angiography Patients
J Lu, M Bennamoun, J Stewart, JK Eshraghian, Y Liu, B Chow, ...
arXiv preprint arXiv:2309.00330, 2023
2023
Machine Learning Models to Predict Exercise Stress Test Results: Optimising the Diagnostic Test Selection Strategy and Reducing Wastage in Suspected CAD Patients
J Lu, J Stewart, M Bennamoun, A Goudie, J Eshraghian, A Ihdayhid, ...
Heart, Lung and Circulation 31, S303, 2022
2022
Australia’s contribution to Artificial Intelligence research in medicine
JE Stewart, G Dwivedi, K Chai, F Sanfilippo
Tasman Medical Journal 3 (2), 87-93, 2021
2021
230 Machine learning models for predicting ischemic stroke and major bleeding risk in patients with atrial fibrillation
J Lu, G Dwivedi, F Sanfilippo, M Bennamoun, J Hung, T Briffa, F Sohel, ...
Heart, Lung and Circulation 29 (Supp. 2), S137-S138, 2020
2020
73 Royal Perth Hospital Emergency Laparotomy Audit
J Stewart, A Hayward, J Colgan, S Douglas, E Hughes
Anaesthesia 72 (52 (Suppl. 2)), 10-92, 2017
2017
Health consumers' ethical concerns towards artificial intelligence in Australian emergency departments
S Freeman, J Stewart, R Kaard, E Ouliel, A Goudie, G Dwivedi, ...
Emergency Medicine Australasia, 0
A Personalized Ai Decision Support System to Assess the Clinical Utility of Exercise Stress Testing
J Lu, J Stewart, M Bennamoun, A Goudie, J Eshraghian, A Ihdayhid, ...
Available at SSRN 4022148, 0
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