Harrison, Ewen M.

Features of 20 133 UK patients in hospital with covid-19 using the ISARIC WHO Clinical Characterisation Protocol: prospective observational cohort study

Docherty, A. B., Harrison, E. M., Green, C. A., Hardwick, H. E., Pius, R., Norman, L., Holden, K. A., Read, J. M., Dondelinger, F., Carson, G., et al. (2020) · BMJ

COVID-19 Clinical Research StudiesCOVID-19 and healthcare impacts

Cited by 3,481

Resolving the fibrotic niche of human liver cirrhosis at single-cell level

Ramachandran, P., Dobie, R., Wilson-Kanamori, J. R., Dora, E. F., Henderson, B. E. P., Luu, N. T., Portman, J. R., Matchett, K. P., Brice, M., Marwick, J. A., et al. (2019) · Nature

Liver physiology and pathologyLiver Diseases and Immunity

Cited by 1,784

Mortality and pulmonary complications in patients undergoing surgery with perioperative SARS-CoV-2 infection: an international cohort study

Nepogodiev, D., Bhangu, A., Glasbey, J. C., Li, E., Omar, O. M., Simoes, J. F., Abbott, T. E., Alser, O., Arnaud, A. P., Bankhead-Kendall, B. K., et al. (2020) · The Lancet

COVID-19 Clinical Research StudiesCardiac, Anesthesia and Surgical Outcomes

Cited by 1,711

SARS-CoV-2 Omicron-B.1.1.529 leads to widespread escape from neutralizing antibody responses

Dejnirattisai, W., Huo, J., Zhou, D., Zahradník, J., Supasa, P., Liu, C., Duyvesteyn, H. M. E., Ginn, H. M., Mentzer, A. J., Tuekprakhon, A., et al. (2022) · Cell

SARS-CoV-2 and COVID-19 Researchvaccines and immunoinformatics approaches

Cited by 930

Single-cell transcriptomics uncovers zonation of function in the mesenchyme during liver fibrosis

Dobie, R., Wilson-Kanamori, J. R., Henderson, B. E. P., Smith, J. R., Matchett, K. P., Portman, J. R., Wallenborg, K., Picelli, S., Zagorska, A., Pendem, S. V., et al. (2019) · Cell Reports

Liver physiology and pathologyLiver Disease Diagnosis and Treatment

Cited by 420

Artificial intelligence in surgery

Varghese, C., Harrison, E. M., O’Grady, G., & Topol, E. J. (2024) · Nature Medicine

Artificial Intelligence in Healthcare and EducationSurgical Simulation and Training

Cited by 287

GWAS and meta-analysis identifies 49 genetic variants underlying critical COVID-19

Pairo-Castineira, E., Rawlik, K., Bretherick, A. D., Qi, T., Wu, Y., Nassiri, I., McConkey, G. A., Zechner, M., Klaric, L., Griffiths, F., et al. (2023) · Nature

Genetic Associations and EpidemiologyCOVID-19 Clinical Research Studies

Cited by 225

Effectiveness of a national quality improvement programme to improve survival after emergency abdominal surgery (EPOCH): a stepped-wedge cluster-randomised trial

Peden, C. J., Stephens, T., Martin, G., Kahan, B. C., Thomson, A., Rivett, K., Wells, D., Richardson, G., Kerry, S., Bion, J., et al. (2019) · The Lancet

Healthcare Quality and ManagementEnhanced Recovery After Surgery

Cited by 189

Meta-analysis and meta-regression of survival after liver transplantation for unresectable perihilar cholangiocarcinoma

Cambridge, W. A., Fairfield, C., Powell, J. J., Harrison, E. M., Søreide, K., Wigmore, S. J., & Guest, R. V. (2021) · Annals of Surgery

Cholangiocarcinoma and Gallbladder Cancer StudiesPediatric Hepatobiliary Diseases and Treatments

Cited by 141

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

Knight, S. R., Ng, N., Tsanas, A., Mclean, K., Pagliari, C., & Harrison, E. M. (2021) · npj Digital Medicine

Mobile Health and mHealth ApplicationsDigital Mental Health Interventions

Cited by 104

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

Zhu, Y., Wang, Z., Gao, J., Tong, Y., An, J., Liao, W., Harrison, E. M., Ma, L., & Pan, C. (2024) · arXiv

Machine Learning in HealthcareArtificial Intelligence in Healthcare and Education

Cited by 8

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

Zhu, Y., Sui, D., Wang, Z., Hu, X., Gu, L., Qi, Y., Wu, T., Wang, L., Wei, Y., Tang, W., et al. (2026) · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems

Explainable Artificial Intelligence (XAI)Artificial Intelligence in Healthcare and Education

Cited by 3