A5037304973- Retinal Imaging and Analysis
- Retinal Diseases and Treatments
- Retinal and Optic Conditions
- Glaucoma and retinal disorders
- COVID-19 diagnosis using AI
- Retinal Development and Disorders
- Skin and Cellular Biology Research
- Artificial Intelligence in Healthcare and Education
- AI in cancer detection
- Child Abuse and Related Trauma
- Patient Satisfaction in Healthcare
- Healthcare Operations and Scheduling Optimization
- Telemedicine and Telehealth Implementation
- Ocular Diseases and Behçet’s Syndrome
- Transgenic Plants and Applications
- Ophthalmology and Visual Health Research
- Cardiovascular Syncope and Autonomic Disorders
- Plant Reproductive Biology
- Autoimmune and Inflammatory Disorders Research
- Systemic Lupus Erythematosus Research
- Corneal surgery and disorders
- Medical Coding and Health Information
- Ocular Surface and Contact Lens
- Clinical Reasoning and Diagnostic Skills
- Hair Growth and Disorders
Moorfields Eye Hospital NHS Foundation Trust
2018-2025
University College London
2018-2025
Moorfields Eye Hospital
2019-2025
National Institute for Health Research
2022-2025
King's College London
2023-2025
City, University of London
2025
National Health Service
2019-2025
Oxford University Hospitals NHS Trust
2017-2023
University of Washington
2022
University of Dundee
2012-2020
BackgroundDeep learning has the potential to transform health care; however, substantial expertise is required train such models. We sought evaluate utility of automated deep software develop medical image diagnostic classifiers by health-care professionals with no coding—and learning—expertise.MethodsWe used five publicly available open-source datasets: retinal fundus images (MESSIDOR); optical coherence tomography (OCT) (Guangzhou Medical University and Shiley Eye Institute, version 3);...
In recent years, there has been considerable interest in the prospect of machine learning models demonstrating expert-level diagnosis multiple disease contexts. However, is concern that excitement around this field may be associated with inadequate scrutiny methodology and insufficient adoption scientific good practice studies involving artificial intelligence health care. This article aims to empower clinicians researchers critically appraise clinical applications learning, through: (1)...
PurposeTo apply a deep learning algorithm for automated, objective, and comprehensive quantification of OCT scans to large real-world dataset eyes with neovascular age-related macular degeneration (AMD) make the raw segmentation output data openly available further research.DesignRetrospective analysis images from Moorfields Eye Hospital AMD Database.ParticipantsA total 2473 first-treated 493 second-treated that commenced therapy between June 2012 2017.MethodsA was used segment all baseline...
Background Hospital Eye Services (HES) in the UK face an increasing number of optometric referrals driven by progress retinal imaging. The National Health Service (NHS) published a 10-year strategy (NHS Long-Term Plan) to transform services meet this challenge. In study, we implemented cloud-based referral platform improve communication between optometrists and ophthalmologists. Methods Retrospective cohort study conducted at Moorfields Hospital, Croydon Foundation Trust, London, UK)....
Geographic atrophy is a major vision-threatening manifestation of age-related macular degeneration, one the leading causes blindness globally. has no proven treatment or method for easy detection. Rapid, reliable, and objective detection quantification geographic from optical coherence tomography (OCT) retinal scans necessary disease monitoring, prognostic research, to serve as clinical endpoints therapy development. To this end, we aimed develop validate fully automated detect quantify...
Keratin 9 (K9) is a type I intermediate filament protein whose expression confined to the suprabasal layers of palmoplantar epidermis. Although mutations in K9 gene are known cause epidermolytic keratoderma, rare dominant-negative skin disorder, its functional significance poorly understood. To gain insight into physical requirement and importance K9, we generated K9-deficient (Krt9(-/-)) mice. Here, report that adult Krt9(-/-)mice develop calluses marked by hyperpigmentation exclusively...
Abstract Purpose To quantify relevant fundus autofluorescence (FAF) image features cross-sectionally and longitudinally in a large cohort of inherited retinal diseases (IRDs) patients. Design Retrospective study imaging data (55-degree blue-FAF on Heidelberg Spectralis) from Participants Patients with clinical molecularly confirmed diagnosis IRD who have undergone FAF 55-degree at Moorfields Eye Hospital (MEH) the Royal Liverpool (RLH) between 2004 2019. Methods Five interest were defined:...
<h3>Importance</h3> Although multiple imputation models for missing data and the use of mixed-effects generally provide better outcome estimates than using only observed or last observation carried forward in clinical trials, such approaches usually cannot be applied to visual outcomes from retrospective analyses practice settings, also called real-world outcomes. <h3>Objective</h3> To explore potential usefulness survival analysis techniques <h3>Design, Setting, Participants</h3> This...
Neovascular age-related macular degeneration (nAMD) is a major global cause of blindness. Whilst anti-vascular endothelial growth factor (anti-VEGF) treatment effective, response varies considerably between individuals. Thus, patients face substantial uncertainty regarding their future ability to perform daily tasks. In this study, we evaluate the performance an automated machine learning (AutoML) model which predicts visual acuity (VA) outcomes in receiving for nAMD, comparison manually...
To quantify relevant fundus autofluorescence (FAF) features cross-sectionally and longitudinally in a large cohort of patients with inherited retinal diseases (IRDs). Retrospective study imaging data. Patients clinical molecularly confirmed diagnosis IRD who have undergone 55° FAF at Moorfields Eye Hospital (MEH) the Royal Liverpool between 2004 2019. Five interest were defined: vessels, optic disc, perimacular ring increased signal (ring), relative hypo-autofluorescence (hypo-AF),...
To analyse treatment outcomes and share clinical data from a large, single-centre, well-curated database (8174 eyes/6664 patients with 120 756 single entries) of neovascular age-related macular degeneration (AMD) treated anti-vascular endothelial growth factor (VEGF). By making our depersonalised raw openly available, we aim to stimulate further research in AMD, as well set precedent for future work this area.Retrospective, comparative, non-randomised electronic medical record (EMR) cohort...
Telemedicine is accelerating the remote detection and monitoring of medical conditions, such as vision-threatening diseases. Meaningful deployment smartphone apps for home vision should consider barriers to patient uptake engagement address issues around digital exclusion in vulnerable populations.To quantify associations between characteristics clinical measures with app engagement.In this cohort survey study, consecutive adult patients attending Moorfields Eye Hospital receiving...
To determine the spectrum of glaucoma-associated health care resource utilization among outpatients attending National Health Service (NHS) hospital glaucoma clinics and costs managing in this setting. Retrospective observational cohort study using electronic medical record data. Patients aged ≥ 18 years 5 NHS United Kingdom (2013‒2018) with 12 months continuous Deidentified Medisoft Ophthalmology data (January 2013‒December 2018) from 43 742 eligible patients were categorized by year clinic...
Abstract Geographic atrophy (GA) is a vision-threatening manifestation of age-related macular degeneration (AMD), one the leading causes blindness globally. Objective, rapid, reliable, and scalable quantification GA from optical coherence tomography (OCT) retinal scans necessary for disease monitoring, prognostic research, clinical endpoints therapy development. Such automatically quantified biomarkers on OCT are likely to further elucidate structure–function correlation in thus...
To test the association between use of calcium channel blocker (CCB) medications and rate visual field (VF) progression in a large cohort patients from five glaucoma clinics. Retrospective, longitudinal case-control study. Patients attending clinics United Kingdom using same Electronic Medical Record (EMR) system. For main analysis, we selected one eye with at least 5 reliable (false positive errors < 15%) VFs over 4 years. The systemic was derived EMR CCB users were identified as cases....
Background/Aims Neovascular age-related macular degeneration (nAMD) is frequently bilateral, and previous reports on ‘fellow eyes’ have assumed sequential treatment after a period of the first eye only. The aim our study was to analyse baseline characteristics visual acuity (VA) outcomes fellow involvement with nAMD, specifically differentiating between non-sequential (due scarring in eye) antivascular endothelial growth factor timelines for involvement. Methods Retrospective, electronic...
Objective To evaluate the role of automated optical coherence tomography (OCT) segmentation, using a validated deep-learning model, for assessing effect C3 inhibition on area geographic atrophy (GA); constituent features GA OCT (photoreceptor degeneration (PRD), retinal pigment epithelium (RPE) loss and hypertransmission); unaffected healthy macula. identify predictive biomarkers growth. Methods Post hoc analysis FILLY trial model spectral domain (SD-OCT) autosegmentation. 246 patients were...
<title>Abstract</title> In this study, we investigated the influences of retinal structural changes on photopic and scotopic visual functions. Participants aged 55 years or over with early intermediate age-related macular degeneration (AMD) in at least one eye, controls healthy maculae were included. Associations between functions using linear regression survival analysis all participants. Additional multivariable analyses also performed control group AMD group. We found that presence...