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Journal of Medical Imaging and Radiation Oncology|June 25, 2021
Chest radiographs and machine learning - Past, present and futureCatherine M Jones, Quinlan D Buchlak, Luke Oakden-Rayner, et al.
World Neurosurgery|October 22, 2019
Investigating Risk Factors and Predicting Complications in Deep Brain Stimulation Surgery with Machine Learning AlgorithmsFarrokh Farrokhi, Quinlan D Buchlak, Matt Sikora, 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 studyCatherine 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 cardiologyMichael 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 radiographyJarrel Seah, Cyril Tang, Quinlan D Buchlak, et al.
Diagnostics (Basel, Switzerland)|July 29, 2023
Analysis of Line and Tube Detection Performance of a Chest X-ray Deep Learning Model to Evaluate Hidden StratificationCyril H M Tang, Jarrel C Y Seah, Hassan K Ahmad, 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 systemsQuinlan D Buchlak, Michael R Milne, Jarrel Seah, et al.
Diagnostics (Basel, Switzerland)|February 25, 2023
Machine Learning Augmented Interpretation of Chest X-rays: A Systematic ReviewHassan K Ahmad, Michael R Milne, Quinlan D Buchlak, et al.
The Lancet. Digital Health|July 5, 2021
Effect of a comprehensive deep-learning model on the accuracy of chest x-ray interpretation by radiologists: a retrospective, multireader multicase studyJarrel C Y Seah, Cyril H M Tang, Quinlan D Buchlak, et al.
European Radiology|August 22, 2023
Effects of a comprehensive brain computed tomography deep learning model on radiologist detection accuracyQuinlan D Buchlak, Cyril H M Tang, Jarrel C Y Seah, et al.
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