1. Pearse A. Keane

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    1. Mentioned In 98 Articles

    2. Objective evaluation of proliferative diabetic retinopathy using optical coherence tomography

      Explore ScienceDirect Ophthalmology
      Objective evaluation of proliferative diabetic retinopathy using optical coherence tomography
      Purpose To present the routine use of optical coherence tomography (OCT) and OCT angiography (OCTA) for the objective diagnosis and monitoring of proliferative diabetic retinopathy (PDR). Design Retrospective observational case series. Subjects Patients with diabetic retinopathy imaged using a standardized PDR-protocol Methods Patients routinely imaged with a standardized PDR-protocol between March 2017 and January 2019 were included. This included a 12x9 mm structural OCT volume centered on the macula and ...
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      Mentions: University College London Praveen J. Patel Pearse A. Keane

    3. OCT Angiography in Acute Posterior Multifocal Placoid Pigment Epitheliopathy

      Explore Healio.com Ophthalmology
      OCT Angiography in Acute Posterior Multifocal Placoid Pigment Epitheliopathy
      BACKGROUND AND OBJECTIVE: To describe retinal and choroidal findings in different stages of acute posterior multifocal placoid pigment epitheliopathy (APMPPE). PATIENTS AND METHODS: Retrospective, noncomparative case series studied by fundus biomicroscopy, fundus autofluorescence (FAF), fluorescein angiography (FA), indocyanine green angiography (ICGA), spectral-domain optical coherence tomographic (SD-OCT), and swept-source OCT angiography (SS-OCTA). RESULTS: Six eyes of three patients with bilateral APMPPE were included. FAF showed multifocal, branched patches of hyperautofluorescence with ...
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      Mentions: University College London Pearse A. Keane

    4. Anterior segment optical coherence tomographic angiography assessment of acute chemical injury

      Explore American Journal of Ophthalmology Ophthalmology
      Anterior segment optical coherence tomographic angiography assessment of acute chemical injury
      Purpose To compare routine clinical examination with optical coherence tomography angiography (OCTA) for the assessment of limbal conjunctival ischemia following a chemical burn. Setting Validity analysis Methods We assessed ten participants (15 eyes) with an acute chemical injury. Clinical photographs were used to determine the extent of any limbal conjunctival epithelial defect and ischemia. These were compared with the extent of limbal ischemia identified on OCTA images of the ocular ...
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      Mentions: University College London Pearse A. Keane

    5. Effect of total anti-VEGF treatment exposure on patterns of choroidal neovascularisation assessed by optical coherence tomography angiography in age-related macular degeneration: a retrospective case series

      Explore Home | BMJ Open Ophthalmology Ophthalmology
      Effect of total anti-VEGF treatment exposure on patterns of choroidal neovascularisation assessed by optical coherence tomography angiography in age-related macular degeneration: a retrospective case series
      Objective To compare clinical characteristics of patients suffering from neovascular age-related macular degeneration (nAMD) with mature and immature choroidal neovascularisation (CNV) as assessed by optical coherence tomography angiography (OCTA). To explore the effect of total anti-vascular endothelial growth factor exposure on the occurrence of mature CNV when correcting for potential confounders. Methods and analysis In this retrospective case series, we included 40 eyes of 36 patients with nAMD with CNV ...
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      Mentions: Tufts University Praveen J. Patel Nadia K. Waheed

    6. Test performance of optical coherence tomography angiography in detecting retinal diseases: a systematic review and meta-analysis

      Explore Nature Publishing Group Ophthalmology
      Test performance of optical coherence tomography angiography in detecting retinal diseases: a systematic review and meta-analysis
      Objective To investigate the diagnostic accuracy of optical coherence tomography angiography (OCTA) in detecting vascular characteristics of chorio-retinal disease. Methods Evidence acquisition: We searched Web of Science, Scopus, and Medline by the citation of references and complemented these electronic searches by checking the list of references of included and review articles. Screening, selection, assessment, and extraction was performed in parallel by two authors. Results Evidence synthesis: Systematic review and exploratory ...
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      Mentions: Pearse A. Keane

    7. Predicting optical coherence tomography-derived diabetic macular edema grades from fundus photographs using deep learning

      Explore arxiv.org Ophthalmology
      Predicting optical coherence tomography-derived diabetic macular edema grades from fundus photographs using deep learning
      Diabetic eye disease is one of the fastest growing causes of preventable blindness. With the advent of anti-VEGF (vascular endothelial growth factor) therapies, it has become increasingly important to detect center-involved diabetic macular edema. However, center-involved diabetic macular edema is diagnosed using optical coherence tomography (OCT), which is not generally available at screening sites because of cost and workflow constraints. Instead, screening programs rely on the detection of hard exudates ...
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      Mentions: University College London Pearse A. Keane

    8. Artificial intelligence and deep learning in ophthalmology

      Explore BJO Online Ophthalmology
      Artificial intelligence and deep learning in ophthalmology
      Artificial intelligence (AI) based on deep learning (DL) has sparked tremendous global interest in recent years. DL has been widely adopted in image recognition, speech recognition and natural language processing, but is only beginning to impact on healthcare. In ophthalmology, DL has been applied to fundus photographs, optical coherence tomography and visual fields, achieving robust classification performance in the detection of diabetic retinopathy and retinopathy of prematurity, the glaucoma-like disc ...
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      Mentions: University College London Medical University of Vienna Oregon Health & Science University

    9. Clinically applicable deep learning for diagnosis and referral in retinal disease

      Explore Nature Publishing Group Ophthalmology
      Clinically applicable deep learning for diagnosis and referral in retinal disease
      The volume and complexity of diagnostic imaging is increasing at a pace faster than the availability of human expertise to interpret it. Artificial intelligence has shown great promise in classifying two-dimensional photographs of some common diseases and typically relies on databases of millions of annotated images. Until now, the challenge of reaching the performance of expert clinicians in a real-world clinical pathway with three-dimensional diagnostic scans has remained unsolved. Here ...
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      Mentions: University College London Adnan Tufail Pearse A. Keane

    10. Now Google's DeepMind's AI can spot eye disease just as well as your doctor

      Explore WIRED UK Ophthalmology
      Now Google's DeepMind's AI can spot eye disease just as well as your doctor
      When Pearse Keane started using optical coherence tomography (OCT) scanners to peer to the back of a person's eye in Los Angeles a decade ago, the machines were relatively crude. "The devices were lower resolution, they had much slower image acquisition speeds," says Keane, a consultant ophthalmic surgeon at Moorfields Eye Hospital and researcher at University College, London. From 2007, Keane spent two years studying scans from OCT machines ...
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      Mentions: University College London Pearse A. Keane

    11. Artificial intelligence tool 'as good as experts' at detecting eye problems

      Explore theguardian.com Ophthalmology
      Artificial intelligence tool 'as good as experts' at detecting eye problems
      A new machine-learning system is as good as the best human experts at detecting eye problems and referring patients for treatment, say scientists. The groundbreaking artificial intelligence system, developed by the AI-outfit DeepMind with Moorfields eye hospital NHS foundation trust and University College London, was capable of correctly referring patients with more than 50 different eye diseases for further treatment with 94% accuracy, matching or beating world-leading eye specialists.
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      Mentions: University College London Pearse A. Keane

    12. Artificial intelligence 'did not miss a single urgent case'

      Explore BBC - Homepage Ophthalmology
      Artificial intelligence 'did not miss a single urgent case'
      A study by Moorfields Eye Hospital in London and the Google company DeepMind found that a machine could learn to read complex eye scans and detect more than 50 eye conditions. Doctors hope artificial intelligence could soon play a major role in helping to identify patients who need urgent treatment. They hope it will also reduce delays. A team at DeepMind, based in London, created an algorithm, or mathematical set ...
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      Mentions: Imperial College London University College London Pearse A. Keane

    14. Feature Of The Week 07/08/2018: Retinal Nerve Fibre Layer Thickness & Cognition - Results from UK Biobank

      Explore Optical Coherence Tomography News Neurology , Ophthalmology
      Feature Of The Week 07/08/2018: Retinal Nerve Fibre Layer Thickness & Cognition - Results from UK Biobank
      Importance: Identifing potential screening tests for future cognitive decline is a priority for developing treatments for and the prevention of dementia. Objective: To examine the potential of retinal nerve fiber layer (RNFL) thickness measurement in identifying those at greater risk of cognitive decline in a large community cohort of healthy people. Design, Setting, and Participants: UK Biobank is a prospective, multicenter, community-based study of UK residents aged 40 to 69 ...
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      Mentions: University College London Topcon Medical Systems Oxford University

    15. Association of Retinal Nerve Fiber Layer Thinning With Current and Future Cognitive Decline A Study Using Optical Coherence Tomography

      Explore The JAMA Network Neurology , Ophthalmology
      Association of Retinal Nerve Fiber Layer Thinning With Current and Future Cognitive Decline A Study Using Optical Coherence Tomography
      ...niversity of Liverpool, Ruth E. Hogg, PhD, Queens University Belfast, Pirro Hysi, PhD, King's College London, Pearse A. Keane, MD, NIHR Biomedical Research Centre, Sir Peng T. Khaw, PhD, NIHR Biomedical Research Centre, ...
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      Mentions: University College London Praveen J. Patel Axel Petzold

    16. The EXPLORE Study - The Use of Binocular OCT Imaging for the Assessment of Ocular Disease

      Explore Home - ClinicalTrials.gov Ophthalmology , Clinical Trials
      The EXPLORE Study - The Use of Binocular OCT Imaging for the Assessment of Ocular Disease
      Optical coherence tomography (OCT) is an imaging modality, first described in 1991, that provides cross-sectional images of the eye in a non-invasive manner. OCT is analogous to ultrasonography but measures the "echoes" of light waves rather than sound and, as a result, generates extremely high-resolution images (~5 m axial resolution). Although OCT has already proven revolutionary in ophthalmology, current OCT systems are large, expensive, and require skilled personnel for image ...
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      Mentions: Pearse A. Keane
    17. 1-15 of 98 1 2 3 4 5 6 7 »
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  4. About Pearse A. Keane

    Pearse A. Keane

    Pearse A. Keane is with the NIHR Biomedical Research Center for Ophthalmology, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, United Kingdom.

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