Alastair Denniston

University Hospitals Birmingham, Department of Ophthalmology

Birmingham

United Kingdom

University of Birmingham - Academic Unit of Ophthalmology

Birmingham

United Kingdom

University of Birmingham - Centre for Patient Reported Outcome Research

Birmingham

United Kingdom

Government of the United Kingdom - NIHR Biomedical Research Centre for Ophthalmology

London

United Kingdom

SCHOLARLY PAPERS

3

DOWNLOADS

486

SSRN CITATIONS

3

CROSSREF CITATIONS

0

Scholarly Papers (3)

1.

Deep Learning Under Scrutiny: Performance Against Health Care Professionals in Detecting Diseases from Medical Imaging - Systematic Review and Meta-Analysis

The Lancet Digital Health, VOLUME 1, ISSUE 6, E271-E297, OCTOBER 01, 2019, https://doi.org/10.1016/S2589-7500(19)30123-2
Number of pages: 33 Posted: 13 May 2019
Cantonal Hospital of Lucerne, Government of the United Kingdom - Moorfields Eye Hospital, University Hospitals Birmingham, Department of Ophthalmology, University Hospitals Birmingham, Department of Ophthalmology, University of Birmingham - Academic Unit of Ophthalmology, Government of the United Kingdom - Moorfields Eye Hospital, Government of the United Kingdom - Moorfields Eye Hospital, Government of the United Kingdom - NIHR Biomedical Research Centre for Ophthalmology, Government of the United Kingdom - Moorfields Eye Hospital, Google DeepMind, Cantonal Hospital of Lucerne, The Scripps Research Institute - The Scripps Research Institute California, Government of the United Kingdom - Moorfields Eye Hospital, Medignition, Inc, Government of the United Kingdom - Moorfields Eye Hospital and University Hospitals Birmingham, Department of Ophthalmology
Downloads 347 (93,728)
Citation 4

Abstract:

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Artificial intelligence, machine learning, deep learning, medical imaging, diagnosis, classification, diagnostic accuracy, sensitivity, specificity, systematic review, meta-analysis

2.

Feasibility of Automated Deep Learning Design for Medical Image Classification by Healthcare Professionals with Limited Coding Experience

The Lancet Digital Health, Volume 1, Issue 5, September 2019, Pages e232-e242, https://doi.org/10.1016/S2589-7500(19)30108-6
Number of pages: 37 Posted: 14 Jun 2019
Cantonal Hospital of Lucerne, Government of the United Kingdom - NIHR Biomedical Research Centre for Ophthalmology, Government of the United Kingdom - Moorfields Eye Hospital, Government of the United Kingdom - Moorfields Eye Hospital, Beaumont Eye Institute, Google DeepMind, Google DeepMind, Government of the United Kingdom - NIHR Biomedical Research Centre for Ophthalmology, Government of the United Kingdom - NIHR Biomedical Research Centre for Ophthalmology, Government of the United Kingdom - Moorfields Eye Hospital, Government of the United Kingdom - Moorfields Eye Hospital, Cantonal Hospital of Lucerne, Government of the United Kingdom - NIHR Biomedical Research Centre for Ophthalmology, Government of the United Kingdom - Moorfields Eye Hospital, Medignition, Inc, University Hospitals Birmingham, Department of Ophthalmology and Government of the United Kingdom - NIHR Biomedical Research Centre for Ophthalmology
Downloads 90 (307,029)

Abstract:

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Deep learning, Automated deep learning, Neural architecture search

3.

Ethnicity and Risk of Death in Patients Hospitalised for COVID-19 Infection: An Observational Cohort Study in an Urban Catchment Area

Number of pages: 23 Posted: 03 Jun 2020
University of Birmingham - PIONEER Health Data Research Hub for Acute Care, Department of Health Informatics, University Hospitals Birmingham NHS Foundation Trust, Department of Health Informatics, University Hospitals Birmingham NHS Foundation Trust, NIHR Clinical Research Facility Birmingham, University Hospitals Birmingham NHS Foundation Trust, Department of Health Informatics, University Hospitals Birmingham NHS Foundation Trust, University Hospitals Birmingham NHS Foundation Trust - Department of Health Informatics, Department of Health Informatics, University Hospitals Birmingham NHS Foundation Trust, Department of Health Informatics, University Hospitals Birmingham NHS Foundation Trust, Department of Health Informatics, University Hospitals Birmingham NHS Foundation Trust, Department of Health Informatics, University Hospitals Birmingham NHS Foundation Trust, Department of Health Informatics, University Hospitals Birmingham NHS Foundation Trust, University of Birmingham - Institute of Applied Health Research, The Medical School, College of Medicine and Dentistry, University of Birmingham Medical School, The Medical School, College of Medicine and Dentistry, University of Birmingham Medical School, The Medical School, College of Medicine and Dentistry, University of Birmingham Medical School, Department of Cardiothoracic surgery, University Hospitals Birmingham NHS Foundation Trust, Department of Renal Medicine, University Hospitals Birmingham NHS Foundation Trust, University Hospitals Birmingham, Department of Ophthalmology and HDRUK Midlands Physical Site; University Hospitals Birmingham NHS Foundation Trust
Downloads 49 (423,047)

Abstract:

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COVID-19, respiratory, pneumonia, intensive care, mortality, morbidity, ethnicity, age, sex, deprivation