Prime Time for Artificial Intelligence in Interventional Radiology

por Seah, Jarrel, Boeken, Tom, Sapoval, Marc, Goh, Gerard S.
Publicado 2022

Retrospective analysis and prospective validation of an AI-based software for intracranial haemorrhage detection at a high-volume trauma centre

por Zia, Adil, Fletcher, Calvin, Bigwood, Shalini, Ratnakanthan, Prasanna, Seah, Jarrel, Lee, Robin, Kavnoudias, Helen, Law, Meng
Publicado 2022

Chest radiographs and machine learning – Past, present and future

por Jones, Catherine M, Buchlak, Quinlan D, Oakden‐Rayner, Luke, Milne, Michael, Seah, Jarrel, Esmaili, Nazanin, Hachey, Ben
Publicado 2021

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

por Jones, Catherine M, Danaher, Luke, Milne, Michael R, Tang, Cyril, Seah, Jarrel, Oakden-Rayner, Luke, Johnson, Andrew, Buchlak, Quinlan D, Esmaili, Nazanin
Publicado 2021

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

por Seah, Jarrel, Tang, Cyril, Buchlak, Quinlan D, Milne, Michael Robert, Holt, Xavier, Ahmad, Hassan, Lambert, John, Esmaili, Nazanin, Oakden-Rayner, Luke, Brotchie, Peter, Jones, Catherine M
Publicado 2021

Analysis of Line and Tube Detection Performance of a Chest X-ray Deep Learning Model to Evaluate Hidden Stratification

por Tang, Cyril H. M., Seah, Jarrel C. Y., Ahmad, Hassan K., Milne, Michael R., Wardman, Jeffrey B., Buchlak, Quinlan D., Esmaili, Nazanin, Lambert, John F., Jones, Catherine M.
Publicado 2023

Machine Learning Augmented Interpretation of Chest X-rays: A Systematic Review

por Ahmad, Hassan K., Milne, Michael R., Buchlak, Quinlan D., Ektas, Nalan, Sanderson, Georgina, Chamtie, Hadi, Karunasena, Sajith, Chiang, Jason, Holt, Xavier, Tang, Cyril H. M., Seah, Jarrel C. Y., Bottrell, Georgina, Esmaili, Nazanin, Brotchie, Peter, Jones, Catherine
Publicado 2023

Evaluation of an Artificial Intelligence Model for Detection of Pneumothorax and Tension Pneumothorax in Chest Radiographs

por Hillis, James M., Bizzo, Bernardo C., Mercaldo, Sarah, Chin, John K., Newbury-Chaet, Isabella, Digumarthy, Subba R., Gilman, Matthew D., Muse, Victorine V., Bottrell, Georgie, Seah, Jarrel C.Y., Jones, Catherine M., Kalra, Mannudeep K., Dreyer, Keith J.
Publicado 2022

CLiP, catheter and line position dataset

por Tang, Jennifer S. N., Seah, Jarrel C. Y., Zia, Adil, Gajera, Jay, Schlegel, Richard N., Wong, Aaron J. N., Gai, Dayu, Su, Shu, Bose, Tony, Kok, Marcus L., Jarema, Alex, Harisis, George N., Cheng, Chris-Tin, Kavnoudias, Helen, Wang, Wayland, Stein, Anouk, Shih, George, Gaillard, Frank, Dixon, Andrew, Law, Meng
Publicado 2021

Machine learning approaches for imaging‐based prognostication of the outcome of surgery for mesial temporal lobe epilepsy

por Sinclair, Benjamin, Cahill, Varduhi, Seah, Jarrel, Kitchen, Andy, Vivash, Lucy E., Chen, Zhibin, Malpas, Charles B., O'Shea, Marie F., Desmond, Patricia M., Hicks, Rodney J., Morokoff, Andrew P., King, James A., Fabinyi, Gavin C., Kaye, Andrew H., Kwan, Patrick, Berkovic, Samuel F., Law, Meng, O'Brien, Terence J.
Publicado 2022