James T. Teo

According to our database, James T. Teo authored at least 22 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Enhancing clinical data retrieval with Smart Watchers: a NiFi-based ETL pipeline for Elasticsearch queries.

Mohammad Al-Agil, Stephen J. Obee, Vlad Dinu, James T. Teo, David Brawand, Piers E. M. Patten, Anwar Alhaq

BMC Medical Informatics Decis. Mak., December, 2024

Improving Extraction of Clinical Event Contextual Properties from Electronic Health Records: A Comparative Study.

Shubham Agarwal, Thomas Searle, Mart Ratas, Anthony Shek, James T. Teo, Richard J. B. Dobson

CoRR, 2024

Framework to generate perfusion map from CT and CTA images in patients with acute ischemic stroke: A longitudinal and cross-sectional study.

Chayanin Tangwiriyasakul, Pedro Borges, Stefano Moriconi, Paul Wright, Yee H. Mah, James T. Teo, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso

CoRR, 2024

Extracting Epilepsy Patient Data with Llama 2.

Ben Holgate, Shichao Fang, Anthony Shek, Matthew McWilliam, Pedro F. Viana, Joel S. Winston, James T. Teo, Mark P. Richardson

Proceedings of the 23rd Workshop on Biomedical Natural Language Processing, 2024

2023

Latent Transformer Models for out-of-distribution detection.

Mark S. Graham, Petru-Daniel Tudosiu, Paul Wright, Walter Hugo Lopez Pinaya, Petteri Teikari, Ashay Patel, Jean-Marie U.-King-Im, Yee H. Mah, James T. Teo, Hans Rolf Jäger, David Werring, Geraint Rees, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso

Medical Image Anal., December, 2023

Discharge summary hospital course summarisation of in patient Electronic Health Record text with clinical concept guided deep pre-trained Transformer models.

Thomas Searle, Zina M. Ibrahim, James T. Teo, Richard J. B. Dobson

J. Biomed. Informatics, May, 2023

AI chatbots not yet ready for clinical use.

Joshua Au Yeung, Zeljko Kraljevic, Akish Luintel, Alfred Balston, Esther Idowu, Richard J. B. Dobson, James T. Teo

Frontiers Digit. Health, March, 2023

Unsupervised 3D Out-of-Distribution Detection with Latent Diffusion Models.

Mark S. Graham, Walter Hugo Lopez Pinaya, Paul Wright, Petru-Daniel Tudosiu, Yee H. Mah, James T. Teo, Hans Rolf Jäger, David Werring, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Validating Transformers for Redaction of Text from Electronic Health Records in Real-World Healthcare.

Zeljko Kraljevic, Anthony Shek, Joshua Au Yeung, Ewart Jonathan Sheldon, Haris Shuaib, Mohammad Al-Agil, Xi Bai, Kawsar Noor, Anoop D. Shah, Richard J. B. Dobson, James T. Teo

Proceedings of the 11th IEEE International Conference on Healthcare Informatics, 2023

2022

A Knowledge Distillation Ensemble Framework for Predicting Short- and Long-Term Hospitalization Outcomes From Electronic Health Records Data.

Zina M. Ibrahim, Daniel Bean, Thomas Searle, Linglong Qian, Honghan Wu, Anthony Shek, Zeljko Kraljevic, James Galloway, Sam Norton, James T. Teo, Richard J. B. Dobson

IEEE J. Biomed. Health Informatics, 2022

Moving towards vertically integrated artificial intelligence development.

Joe Zhang, Sanjay Budhdeo, William Wasswa, Paul Cerrato, Haris Shuaib, Harpreet Sood, Hutan Ashrafian, John D. Halamka, James T. Teo

npj Digit. Medicine, 2022

Foresight - Deep Generative Modelling of Patient Timelines using Electronic Health Records.

Zeljko Kraljevic, Daniel Bean, Anthony Shek, Rebecca Bendayan, Joshua Au Yeung, Alexander Deng, Alfie Baston, Jack Ross, Esther Idowu, James T. Teo, Richard J. B. Dobson

CoRR, 2022

Summarisation of Electronic Health Records with Clinical Concept Guidance.

Thomas Searle, Zina M. Ibrahim, James T. Teo, Richard J. B. Dobson

CoRR, 2022

Transformer-based out-of-distribution detection for clinically safe segmentation.

Mark S. Graham, Petru-Daniel Tudosiu, Paul Wright, Walter Hugo Lopez Pinaya, Jean-Marie U.-King-Im, Yee H. Mah, James T. Teo, Hans Rolf Jäger, David Werring, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022

Fast Unsupervised Brain Anomaly Detection and Segmentation with Diffusion Models.

Walter H. L. Pinaya, Mark S. Graham, Robert J. Gray, Pedro F. Da Costa, Petru-Daniel Tudosiu, Paul Wright, Yee H. Mah, Andrew D. MacKinnon, James T. Teo, Hans Rolf Jäger, David Werring, Geraint Rees, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021

Real-time clinician text feeds from electronic health records.

James T. Teo, Vlad Dinu, William Bernal, Phil Davidson, Vitaliy Oliynyk, Cormac Breen, Richard D. Barker, Richard J. B. Dobson

npj Digit. Medicine, 2021

Estimating redundancy in clinical text.

Thomas Searle, Zina M. Ibrahim, James T. Teo, Richard J. B. Dobson

J. Biomed. Informatics, 2021

Ensemble learning for poor prognosis predictions: A case study on SARS-CoV-2.

Honghan Wu, Huayu Zhang, Andreas Karwath, Zina M. Ibrahim, Ting Shi, Xin Zhang, Kun Wang, Jiaxing Sun, Kevin Dhaliwal, Daniel Bean, Victor Roth Cardoso, Kezhi Li, James T. Teo, Amitava Banerjee, Fang Gao-Smith, Tony Whitehouse, Tonny Veenith, Georgios V. Gkoutos, Xiaodong Wu, Richard J. B. Dobson, Bruce Guthrie

J. Am. Medical Informatics Assoc., 2021

MedGPT: Medical Concept Prediction from Clinical Narratives.

Zeljko Kraljevic, Anthony Shek, Daniel Bean, Rebecca Bendayan, James T. Teo, Richard J. B. Dobson

CoRR, 2021

Multi-domain clinical natural language processing with MedCAT: The Medical Concept Annotation Toolkit.

Zeljko Kraljevic, Thomas Searle, Anthony Shek, Lukasz Roguski, Kawsar Noor, Daniel Bean, Aurelie Mascio, Leilei Zhu, Amos A. Folarin, Angus Roberts, Rebecca Bendayan, Mark P. Richardson, Robert Stewart, Anoop D. Shah, Wai Keong Wong, Zina M. Ibrahim, James T. Teo, Richard J. B. Dobson

Artif. Intell. Medicine, 2021

2020

A Knowledge Distillation Ensemble Framework for Predicting Short and Long-term Hospitalisation Outcomes from Electronic Health Records Data.

Zina M. Ibrahim, Daniel Bean, Thomas Searle, Honghan Wu, Anthony Shek, Zeljko Kraljevic, James Galloway, Sam Norton, James T. Teo, Richard J. B. Dobson

CoRR, 2020

2010

The Contribution of Primary Motor Cortex is Essential for Probabilistic Implicit Sequence Learning: Evidence from Theta Burst Magnetic Stimulation.

Leonora Wilkinson, James T. Teo, Ignacio Obeso, John C. Rothwell, Marjan Jahanshahi

J. Cogn. Neurosci., 2010