Personal profile
Fingerprint
Dive into the research topics where Jonathon Stewart is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Profiles
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
-
Short-Term Outcomes and Sex-Based Analysis Following Chest Pain Presentations to Emergency Departments in Western Australia-An AUS-MOCHA Substudy
Stewart, J., Lu, J., Goudie, A., Sanfilippo, F. M. & Dwivedi, G., Feb 2026, In: Emergency medicine Australasia : EMA. 38, 1, 11 p., e70235.Research output: Contribution to journal › Article › peer-review
Open Access -
WFUMB Commentary Paper on Artificial intelligence in Medical Ultrasound Imaging
Cui, X. W., Goudie, A., Blaivas, M., Chai, Y. J., Chammas, M. C., Dong, Y., Stewart, J., Jiang, T.-A., Liang, P., Sehgal, C. M., Wu, X.-L., Hsieh, P.C.-C., Adrian, S. & Dietrich, C. F., Mar 2025, In: Ultrasound in Medicine & Biology. 51, 3, p. 428-438 11 p.Research output: Contribution to journal › Review article › peer-review
6 Link opens in a new tab Citations (Scopus) -
Attitudes towards artificial intelligence in emergency medicine
Stewart, J., Freeman, S., Eroglu, E., Dumitrascu, N., Lu, J., Goudie, A., Sprivulis, P., Akhlaghi, H., Tran, V., Sanfilippo, F., Celenza, A., Than, M., Fatovich, D., Walker, K. & Dwivedi, G., Apr 2024, In: Emergency medicine Australasia : EMA. 36, 2, p. 252-265 14 p.Research output: Contribution to journal › Article › peer-review
Open Access18 Link opens in a new tab Citations (Scopus) -
Health consumers' ethical concerns towards artificial intelligence in Australian emergency departments
Freeman, S., Stewart, J., Kaard, R., Ouliel, E., Goudie, A., Dwivedi, G. & Akhlaghi, H., Oct 2024, In: Emergency medicine Australasia : EMA. 36, 5, p. 768-776 9 p.Research output: Contribution to journal › Article › peer-review
Open Access4 Link opens in a new tab Citations (Scopus) -
Predicting multifaceted risks using machine learning in atrial fibrillation: insights from GLORIA-AF study
Lu, J., Bisson, A., Bennamoun, M., Zheng, Y., Sanfilippo, F. M., Hung, J., Briffa, T., McQuillan, B., Stewart, J., Figtree, G., Huisman, M. V., Dwivedi, G. & Lip, G. Y. H., May 2024, In: European Heart Journal - Digital Health. 5, 3, p. 235-246 12 p.Research output: Contribution to journal › Article › peer-review
Open Access8 Link opens in a new tab Citations (Scopus)