Luke Rayner-Oakden

North Terrace
Adelaide, SA, Australia

Last Updated: 09/26/2026

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Found 22 publications

Assessment of the effect of a comprehensive chest radiograph deep learning model on radiologist reports and patient outcomes: a real-world observational study.

Assessment of the effect of a comprehensive chest radiograph deep learning model on radiologist reports and patient outcomes: a real-world observational study.

Journal: BMJ open

Published: December 21, 2021

Do comprehensive deep learning algorithms suffer from hidden stratification? A retrospective study on pneumothorax detection in chest radiography.

Do comprehensive deep learning algorithms suffer from hidden stratification? A retrospective study on pneumothorax detection in chest radiography.

Journal: BMJ open

Published: December 08, 2021

Guidance for Interventional Trials Involving Artificial Intelligence.

Guidance for Interventional Trials Involving Artificial Intelligence.

Journal: Radiology. Artificial intelligence

Published: May 03, 2021

Chest radiographs and machine learning - Past, present and future.

Chest radiographs and machine learning - Past, present and future.

Journal: Journal of medical imaging and radiation oncology

Published: February 25, 2021

Medical student knowledge and critical appraisal of machine learning: a multicentre international cross-sectional study.

Medical student knowledge and critical appraisal of machine learning: a multicentre international cross-sectional study.

Journal: Internal medicine journal

Published: December 07, 2020

Prospective and external validation of stroke discharge planning machine learning models.

Prospective and external validation of stroke discharge planning machine learning models.

Journal: Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia

Published: November 26, 2020

Hidden Stratification Causes Clinically Meaningful Failures in Machine Learning for Medical Imaging.

Hidden Stratification Causes Clinically Meaningful Failures in Machine Learning for Medical Imaging.

Journal: Proceedings of the ACM Conference on Health, Inference, and Learning

Published: November 16, 2020

Effect of a comprehensive deep-learning model on the accuracy of chest x-ray interpretation by radiologists: a retrospective, multireader multicase study.

Effect of a comprehensive deep-learning model on the accuracy of chest x-ray interpretation by radiologists: a retrospective, multireader multicase study.

Journal: The Lancet. Digital health

Published: November 03, 2020

A survey of clinicians on the use of artificial intelligence in ophthalmology, dermatology, radiology and radiation oncology.

A survey of clinicians on the use of artificial intelligence in ophthalmology, dermatology, radiology and radiation oncology.

Journal: Scientific reports

Published: October 18, 2020

The false hope of current approaches to explainable artificial intelligence in health care.

The false hope of current approaches to explainable artificial intelligence in health care.

Journal: The Lancet. Digital health

Published: June 03, 2020

Stroke prognostication for discharge planning with machine learning: A derivation study.

Stroke prognostication for discharge planning with machine learning: A derivation study.

Journal: Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia

Published: April 27, 2020

Assessing the accuracy of 68 Ga-PSMA PET/CT compared with MRI in the initial diagnosis of prostate malignancy: A cohort analysis of 114 consecutive patients.

Assessing the accuracy of 68 Ga-PSMA PET/CT compared with MRI in the initial diagnosis of prostate malignancy: A cohort analysis of 114 consecutive patients.

Journal: Journal of medical imaging and radiation oncology

Published: January 17, 2020

Showing 1-12 of 22

Last Updated: 09/26/2026