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Scientific Reports
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November 18, 2022
Retrospective analysis and prospective validation of an AI-based software for intracranial haemorrhage detection at a high-volume trauma centre
Adil Zia, Calvin Fletcher, Shalini Bigwood, et al.
Journal of Medical Imaging and Radiation Oncology
|
June 25, 2021
Chest radiographs and machine learning - Past, present and future
Catherine M Jones, Quinlan D Buchlak, Luke Oakden-Rayner, et al.
Emergency Medicine Australasia : EMA
|
January 10, 2018
Rapid and safe discharge from the emergency department: A single troponin to exclude acute myocardial infarction
Lisa Brichko, Hans G Schneider, William Chan, et al.
BMJ Open
|
December 21, 2021
Assessment of the effect of a comprehensive chest radiograph deep learning model on radiologist reports and patient outcomes: a real-world observational study
Catherine M Jones, Luke Danaher, Michael R Milne, et al.
Minerva Cardiology and Angiology
|
November 13, 2024
Applications and potential of machine, learning augmented chest X-ray interpretation in cardiology
Michael R Milne, Hassan K Ahmad, Quinlan D Buchlak, et al.
BMJ Open
|
December 8, 2021
Do comprehensive deep learning algorithms suffer from hidden stratification? A retrospective study on pneumothorax detection in chest radiography
Jarrel Seah, Cyril Tang, Quinlan D Buchlak, et al.
Annals of Surgery
|
November 20, 2020
Pathophysiological Mechanisms of Gastro-esophageal Reflux After Sleeve Gastrectomy
Yazmin Johari, Gillian Lim, Anagi Wickremasinghe, et al.
AJNR. American Journal of Neuroradiology
|
March 4, 2026
Relationship between <i>APOE</i> Genotype Status and Imaging Features in Patients with Alzheimer Disease Being Considered for Antiamyloid β Therapy
Maryam Vejdani-Jahromi, Esteban Calle, Odette Ganem, et al.
Journal of Clinical Neuroscience : Official Journal of the Neurosurgical Society of Australasia
|
March 15, 2022
Charting the potential of brain computed tomography deep learning systems
Quinlan D Buchlak, Michael R Milne, Jarrel Seah, et al.
AJNR. American Journal of Neuroradiology
|
June 20, 2025
Why 2D Matters: Comparative Evaluation of 2D and 3D T1-Weighted Imaging of the Skull Base and Neck
Amy F Juliano, Nathan Huey, Laura V Romo, et al.
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of 3
Search research articles
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Showing results (11-20 of 22) with videos related to
Sort By:
Page
of 3
Scientific Reports
|
November 18, 2022
Retrospective analysis and prospective validation of an AI-based software for intracranial haemorrhage detection at a high-volume trauma centre
Adil Zia, Calvin Fletcher, Shalini Bigwood, et al.
Journal of Medical Imaging and Radiation Oncology
|
June 25, 2021
Chest radiographs and machine learning - Past, present and future
Catherine M Jones, Quinlan D Buchlak, Luke Oakden-Rayner, et al.
Emergency Medicine Australasia : EMA
|
January 10, 2018
Rapid and safe discharge from the emergency department: A single troponin to exclude acute myocardial infarction
Lisa Brichko, Hans G Schneider, William Chan, et al.
BMJ Open
|
December 21, 2021
Assessment of the effect of a comprehensive chest radiograph deep learning model on radiologist reports and patient outcomes: a real-world observational study
Catherine M Jones, Luke Danaher, Michael R Milne, et al.
Minerva Cardiology and Angiology
|
November 13, 2024
Applications and potential of machine, learning augmented chest X-ray interpretation in cardiology
Michael R Milne, Hassan K Ahmad, Quinlan D Buchlak, et al.
BMJ Open
|
December 8, 2021
Do comprehensive deep learning algorithms suffer from hidden stratification? A retrospective study on pneumothorax detection in chest radiography
Jarrel Seah, Cyril Tang, Quinlan D Buchlak, et al.
Annals of Surgery
|
November 20, 2020
Pathophysiological Mechanisms of Gastro-esophageal Reflux After Sleeve Gastrectomy
Yazmin Johari, Gillian Lim, Anagi Wickremasinghe, et al.
AJNR. American Journal of Neuroradiology
|
March 4, 2026
Relationship between <i>APOE</i> Genotype Status and Imaging Features in Patients with Alzheimer Disease Being Considered for Antiamyloid β Therapy
Maryam Vejdani-Jahromi, Esteban Calle, Odette Ganem, et al.
Journal of Clinical Neuroscience : Official Journal of the Neurosurgical Society of Australasia
|
March 15, 2022
Charting the potential of brain computed tomography deep learning systems
Quinlan D Buchlak, Michael R Milne, Jarrel Seah, et al.
AJNR. American Journal of Neuroradiology
|
June 20, 2025
Why 2D Matters: Comparative Evaluation of 2D and 3D T1-Weighted Imaging of the Skull Base and Neck
Amy F Juliano, Nathan Huey, Laura V Romo, et al.
Page
of 3