1. Pearse A. Keane

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    1. Mentioned In 96 Articles

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

      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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    3. 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

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

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

      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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    6. Artificial intelligence and deep learning in 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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    7. Clinically applicable deep learning for diagnosis and referral in retinal disease

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

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

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

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

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

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

      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
    14. Use of a Binocular Optical Coherence Tomography System to Evaluate Strabismus in Primary Position

      Use of a Binocular Optical Coherence Tomography System to Evaluate Strabismus in Primary Position
      Importance Current clinical methods for assessing strabismus can be prone to error. Binocular optical coherence tomography (OCT) has the potential to assess and quantify strabismus objectively and in an automated manner. Objective To evaluate the use of a binocular OCT prototype to assess the presence and size of strabismus. Design, Setting, and Participants Fifteen participants with strabismus were recruited in 2016 as part of the EASE study from Moorfields Eye ...
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    15. WIDEFIELD SPECTRAL-DOMAIN OPTICAL COHERENCE TOMOGRAPHY IMAGING OF PERIPHERAL ROUND RETINAL HOLES WITH OR WITHOUT RETINAL DETACHMENT

      WIDEFIELD SPECTRAL-DOMAIN OPTICAL COHERENCE TOMOGRAPHY IMAGING OF PERIPHERAL ROUND RETINAL HOLES WITH OR WITHOUT RETINAL DETACHMENT
      Purpose: To describe the widefield spectral-domain optical coherence tomography features of peripheral round retinal holes, with or without associated retinal detachment (RD). Methods: Retrospective, observational study of 28 eyes with peripheral round retinal holes, with and without RD. Patients underwent imaging with a widefield 50-degree spectral-domain optical coherence tomography (Heidelberg Engineering, Germany) and Optos ultra-widefield imaging systems (Optos, United Kingdom). Results: Vitreous attachment at the site of the retinal hole ...
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  2. 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.