Showing 1 - 2 results of 2 for search 'Jarrel Seah', query time: 0.02s Refine Results
  1. 1
    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 by Andrew Johnson, Luke Oakden-Rayner, Catherine M Jones, Jarrel Seah, Cyril Tang, Quinlan D Buchlak, Nazanin Esmaili, Luke Danaher, Michael R Milne

    Published 2021-12-01
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    Article
  2. 2
    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 by Luke Oakden-Rayner, Catherine M Jones, John Lambert, Jarrel Seah, Cyril Tang, Quinlan D Buchlak, Michael Robert Milne, Xavier Holt, Hassan Ahmad, Nazanin Esmaili, Peter Brotchie

    Published 2021-12-01
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    Article

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