Ewen M. Harrison

According to our database, Ewen M. Harrison authored at least 17 papers between 2020 and 2026.

Collaborative distances:

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

2026

Explainable AI for Data-Driven Design of High-Dimensional Predictive Studies.

Junyu Yan, Damian Machlanski, Kurt Butler, Panagiotis Dimitrakopoulos, Ewen M. Harrison, Bruce Guthrie, Sotirios A. Tsaftaris

CoRR, May, 2026

v1xerunt/DocTr: v1.0.

Junyi Gao, Cao Xiao, Lucas Glass, Ewen M. Harrison, Jimeng Sun

Dataset, January, 2026

ClinicRealm: Re-evaluating large language models with conventional machine learning for non-generative clinical prediction tasks.

Yinghao Zhu, Junyi Gao, Zixiang Wang, Weibin Liao, Xiaochen Zheng, Lifang Liang, Miguel O. Bernabeu, Yasha Wang, Lequan Yu, Chengwei Pan, Ewen M. Harrison, Liantao Ma

npj Digit. Medicine, 2026

Augmenting Clinical Decision-Making with an Interactive and Interpretable AI Copilot: A Real-World User Study with Clinicians in Nephrology and Obstetrics.

Yinghao Zhu, Dehao Sui, Zixiang Wang, Xuning Hu, Lei Gu, Yifan Qi, Tianchen Wu, Ling Wang, Yuan Wei, Wen Tang, Zhihan Cui, Yasha Wang, Lequan Yu, Ewen M. Harrison, Junyi Gao, Liantao Ma

Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems, 2026

2025

MedAgentAudit: Diagnosing and Quantifying Collaborative Failure Modes in Medical Multi-Agent Systems.

Lei Gu, Yinghao Zhu, Haoran Sang, Zixiang Wang, Dehao Sui, Wen Tang, Ewen M. Harrison, Junyi Gao, Lequan Yu, Liantao Ma

CoRR, October, 2025

Multimodal machine learning to predict surgical site infection with healthcare workload impact assessment.

Kenneth A. McLean, Alessandro Sgrò, Leo R. Brown, Louis F. Buijs, Katie E. Mountain, Catherine A. Shaw, Thomas M. Drake, Riinu Pius, Stephen R. Knight, Cameron J. Fairfield, Richard J. E. Skipworth, Sotirios A. Tsaftaris, Stephen J. Wigmore, Mark A. Potter, Matt-Mouley Bouamrane, Ewen M. Harrison, K. Baweja, W. A. Cambridge, V. Chauhan, K. Czyzykowska, M. Edirisooriya, A. Forsyth, B. Fox, J. Fretwell, C. Gent, A. Gherman, L. Green, J. Grewar, S. Heelan, D. Henshall, C. Iiuoma, S. Jayasangaran, C. Johnston, E. Kennedy, D. Kremel, J. Kung, J. Kwong, C. Leavy, J. Liu, S. Mackay, A. Macnamara, S. Mowitt, E. Musenga, N. Ng, Z. H. Ng, S. O'Neill, M. Ramage, J. Reed, A. Riad, C. Scott, V. Sehgal, A. Sgrò, L. Steven, B. Stutchfield, S. Tominey, W. Wilson, M. Wojtowicz, J. Yang

npj Digit. Medicine, 2025

ColaCare: Enhancing Electronic Health Record Modeling through Large Language Model-Driven Multi-Agent Collaboration.

Zixiang Wang, Yinghao Zhu, Huiya Zhao, Xiaochen Zheng, Dehao Sui, Tianlong Wang, Wen Tang, Yasha Wang, Ewen M. Harrison, Chengwei Pan, Junyi Gao, Liantao Ma

Proceedings of the ACM on Web Conference 2025, 2025

RHealth: A R Toolkit for Deep Learning in Healthcare.

Ji Song, Zhixia Ren, Zhenbang Wu, John Wu, Chaoqi Yang, Yinghao Zhu, Wen Tang, Jimeng Sun, Ewen M. Harrison, Liantao Ma, Junyi Gao

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

2024

A comprehensive benchmark for COVID-19 predictive modeling using electronic health records in intensive care.

Junyi Gao, Yinghao Zhu, Wenqing Wang, Zixiang Wang, Guiying Dong, Wen Tang, Hao Wang, Yasha Wang, Ewen M. Harrison, Liantao Ma

Patterns, 2024

ColaCare: Enhancing Electronic Health Record Modeling through Large Language Model-Driven Multi-Agent Collaboration.

Zixiang Wang, Yinghao Zhu, Huiya Zhao, Xiaochen Zheng, Tianlong Wang, Wen Tang, Yasha Wang, Chengwei Pan, Ewen M. Harrison, Junyi Gao, Liantao Ma

CoRR, 2024

Is larger always better? Evaluating and prompting large language models for non-generative medical tasks.

Yinghao Zhu, Junyi Gao, Zixiang Wang, Weibin Liao, Xiaochen Zheng, Lifang Liang, Yasha Wang, Chengwei Pan, Ewen M. Harrison, Liantao Ma

CoRR, 2024

Prompting Large Language Models for Zero-Shot Clinical Prediction with Structured Longitudinal Electronic Health Record Data.

Yinghao Zhu, Zixiang Wang, Junyi Gao, Yuning Tong, Jingkun An, Weibin Liao, Ewen M. Harrison, Liantao Ma, Chengwei Pan

CoRR, 2024

2023

Evaluation of remote digital postoperative wound monitoring in routine surgical practice.

Kenneth A. McLean, Alessandro Sgrò, Leo R. Brown, Louis F. Buijs, Luke Daines, Mark A. Potter, Matt-Mouley Bouamrane, Ewen M. Harrison

npj Digit. Medicine, 2023

2021

Remote diagnosis of surgical-site infection using a mobile digital intervention: a randomised controlled trial in emergency surgery patients.

Kenneth A. McLean, Katie E. Mountain, Catherine A. Shaw, Thomas M. Drake, Riinu Pius, Stephen R. Knight, Cameron J. Fairfield, Alessandro Sgrò, Matt-Mouley Bouamrane, William A. Cambridge, Mathew Lyons, Aya Riad, Richard J. E. Skipworth, Stephen J. Wigmore, Mark A. Potter, Ewen M. Harrison, K. Baweja, W. A. Cambridge, V. Chauhan, K. Czyzykowska, M. Edirisooriya, A. Forsyth, B. Fox, J. Fretwell, C. Gent, A. Gherman, L. Green, J. Grewar, S. Heelan, D. Henshall, C. Iiuoma, S. Jayasangaran, C. Johnston, E. Kennedy, D. Kremel, J. Kung, J. Kwong, C. Leavy, J. Liu, S. Mackay, A. Macnamara, S. Mowitt, E. Musenga, N. Ng, Z. H. Ng, S. O'Neill, M. Ramage, J. Reed, A. Riad, C. Scott, V. Sehgal, A. Sgrò, L. Steven, B. Stutchfield, S. Tominey, W. Wilson, M. Wojtowicz, J. Yang

npj Digit. Medicine, 2021

Mobile devices and wearable technology for measuring patient outcomes after surgery: a systematic review.

Stephen R. Knight, Nathan Ng, Athanasios Tsanas, Kenneth A. McLean, Claudia Pagliari, Ewen M. Harrison

npj Digit. Medicine, 2021

2020

Stochastic Workflow Modeling in a Surgical Ward: Towards Simulating and Predicting Patient Flow.

Christoffer Olling Back, Areti Manataki, Angelos Papanastasiou, Ewen M. Harrison

Proceedings of the Biomedical Engineering Systems and Technologies, 2020

Mining Patient Flow Patterns in a Surgical Ward.

Christoffer Olling Back, Areti Manataki, Ewen M. Harrison

Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020), 2020