Machine Learning Augmented Interpretation of Chest X-rays: A Systematic Review
Hassan K. Ahmad, Michael R. Milne, Quinlan D. Buchlak, Nalan Ektas, Georgina Sanderson, Hadi Chamtie, Sajith Karunasena, Jason Chiang, Xavier Holt, Cyril H. M. Tang, Jarrel C. Y. Seah, Georgina Bottrell, Nazanin Esmaili, Peter Brotchie and Catherine Jones.
Diagnostics. 2023; 13(4):743.
Evaluation of an Artificial Intelligence Model for Detection of Pneumothorax and Tension Pneumothorax in Chest Radiographs
James M. Hillis, MBBS, DPhil; Bernardo C. Bizzo, MD, PhD; Sarah Mercaldo, PhD; John K. Chin, MD; Isabella Newbury-Chaet, BSc; Subba R. Digumarthy, MBBS; Matthew D. Gilman, MD; Victorine V. Muse, MD; Georgie Bottrell, BSc; Jarrel C.Y. Seah, MBBS; Catherine M. Jones, MBBS; Mannudeep K. Kalra, MBBS, MD; Keith J. Dreyer, DO, PhD
JAMA Netw Open. 2022;5(12):e2247172.
Effect of a comprehensive deep-learning model on the accuracy of chest x-ray interpretation by radiologists: a retrospective, multireader multicase study
Jarrel C Y Seah, Cyril H M Tang, Quinlan D Buchlak, Xavier G Holt, Jeffrey B Wardman, Anuar Aimoldin, Nazanin Esmaili, Hassan Ahmad, Hung Pham, John F Lambert, Ben Hachey, Stephen J F Hogg, Benjamin P Johnston, Christine Bennett, Luke Oakden-Rayner, Peter Brotchie, Catherine M Jones
Lancet Digit Health 2021; 3: e496–506
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, Cyril Tang, Jarrel Seah, Luke Oakden-Rayner, Andrew Johnson, Quinlan D Buchlak, Nazanin Esmaili
BMJ Open 2021;11:e052902