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Dun Jack Fu
Researcher at Moorfields Eye Hospital
Publications - 38
Citations - 1564
Dun Jack Fu is an academic researcher from Moorfields Eye Hospital. The author has contributed to research in topics: Medicine & Macular degeneration. The author has an hindex of 9, co-authored 28 publications receiving 739 citations. Previous affiliations of Dun Jack Fu include Government of the United Kingdom & University College London.
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Journal ArticleDOI
A comparison of deep learning performance against health-care professionals in detecting diseases from medical imaging: a systematic review and meta-analysis
Xiaoxuan Liu,Livia Faes,Aditya Kale,Siegfried K Wagner,Dun Jack Fu,Alice Bruynseels,Thushika Mahendiran,Gabriella Moraes,Mohith Shamdas,Christoph Kern,Christoph Kern,Joseph R. Ledsam,Martin Schmid,Konstantinos Balaskas,Konstantinos Balaskas,Eric J. Topol,Lucas M. Bachmann,Pearse A. Keane,Alastair K Denniston +18 more
TL;DR: A major finding of the review is that few studies presented externally validated results or compared the performance of deep learning models and health-care professionals using the same sample, which limits reliable interpretation of the reported diagnostic accuracy.
Journal ArticleDOI
Automated deep learning design for medical image classification by health-care professionals with no coding experience: a feasibility study
Livia Faes,Siegfried K Wagner,Siegfried K Wagner,Dun Jack Fu,Xiaoxuan Liu,Xiaoxuan Liu,Xiaoxuan Liu,Edward Korot,Joseph R. Ledsam,Trevor Back,Reena Chopra,Reena Chopra,Nikolas Pontikos,Christoph Kern,Christoph Kern,Gabriella Moraes,Martin Schmid,Dawn A Sim,Dawn A Sim,Konstantinos Balaskas,Konstantinos Balaskas,Lucas M. Bachmann,Alastair K Denniston,Pearse A. Keane,Pearse A. Keane +24 more
TL;DR: All models, except the automated deep learning model trained on the multilabel classification task of the NIH CXR14 dataset, showed comparable discriminative performance and diagnostic properties to state-of-the-art performing deep learning algorithms.
Journal ArticleDOI
A Clinician's Guide to Artificial Intelligence: How to Critically Appraise Machine Learning Studies
Livia Faes,Xiaoxuan Liu,Siegfried K Wagner,Dun Jack Fu,Konstantinos Balaskas,Konstantinos Balaskas,Dawn A Sim,Dawn A Sim,Lucas M. Bachmann,Pearse A. Keane,Alastair K Denniston +10 more
TL;DR: Clinicians and researchers are empowered to critically appraise studies of clinical applications of machine learning, through introducing basic machine learning concepts and nomenclature and highlighting some of the potential pitfalls in the design and reporting of these studies.
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Insights into Systemic Disease through Retinal Imaging-Based Oculomics
Siegfried K Wagner,Dun Jack Fu,Livia Faes,Xiaoxuan Liu,Xiaoxuan Liu,Josef Huemer,Hagar Khalid,Daniel Ferraz,Edward Korot,Christopher Kelly,Konstantinos Balaskas,Alastair K Denniston,Alastair K Denniston,Alastair K Denniston,Pearse A. Keane +14 more
TL;DR: This review highlights the current understanding of how retinal morphology evolves in two leading causes of global morbidity and mortality, cardiovascular disease and dementia and considers novel scalable approaches to the risk stratification of chronic complex disorders of ageing.
Journal ArticleDOI
Implementation of a cloud-based referral platform in ophthalmology: making telemedicine services a reality in eye care.
Christoph Kern,Dun Jack Fu,Karsten Kortuem,Josef Huemer,David Barker,AR Davis,Konstantinos Balaskas,Pearse A. Keane,Tom McKinnon,Dawn A Sim +9 more
TL;DR: A cloud-based referral platform offers a digital-first solution that enables rapid-access eye care for patients in community optometrists, facilitates communication between healthcare providers and may serve as a foundation for implementation of artificial intelligence.