Luke Oakden‐Rayner

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

Jane Scheetz, Philip Rothschild, Myra B. McGuinness et al. · Scientific Reports · 2021 · 273 citations · Full text

Medicine, Dermatology, Radiology +10

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

Jarrel Seah, Cyril Tang, Quinlan D. Buchlak et al. · The Lancet Digital Health · 2021 · 222 citations · Full text

Medicine, Health Informatics, Radiology +17

Precision Radiology: Predicting longevity using feature engineering and deep learning methods in a radiomics framework

Luke Oakden‐Rayner, Gustavo Carneiro, Taryn Bessen et al. · Scientific Reports · 2017 · 158 citations · Full text

Computing, Computer Science, Radiology +17

Deep Learning in the Prediction of Ischaemic Stroke Thrombolysis Functional Outcomes

Stephen Bacchi, Toby Zerner, Luke Oakden‐Rayner et al. · Academic Radiology · 2019 · 109 citations

Computing, Computer Science, Neurology +14

Deep Learning Natural Language Processing Successfully Predicts the Cerebrovascular Cause of Transient Ischemic Attack-Like Presentations

Stephen Bacchi, Luke Oakden‐Rayner, Toby Zerner et al. · Stroke · 2019 · 55 citations · Full text

Computing, Computer Science, Neurology +17