1. Pearse A. Keane

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    1. Mentioned In 103 Articles

    2. Subclinical Macular Changes And Disease Laterality In Pediatric Coats Disease Determined By Quantitative Optical Coherence Tomography Angiography

      Subclinical Macular Changes And Disease Laterality In Pediatric Coats Disease Determined By Quantitative Optical Coherence Tomography Angiography
      Purpose: To determine vascular change at the macula in both eyes in unilateral pediatric Coats disease using optical coherence tomography angiography. Methods: Retrospective case-series. Thirteen eyes of pediatric patients with a diagnosis of unilateral Coats disease of various stages were compared with 13 fellow eyes. Optical coherence tomography angiography images were acquired using the RTVue XR Avanti. Scans were analyzed with novel projection artifact removal software and improved segmentation. Vascular ...
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    3. Correspondence: Trends in Retina Specialist Imaging Utilization From 2012 to 2016 in the United States Medicare Fee-for-Service Population

      Correspondence: Trends in Retina Specialist Imaging Utilization From 2012 to 2016 in the United States Medicare Fee-for-Service Population
      We read with great interest the recent report by Wibbelsman and associates titled Trends in Retina Specialist Imaging Utilization from 2012 to 2016 in the USA Medicare fee-for-service Population.1 Despite the prominent role of optical coherence tomography (OCT) in ophthalmic practice, there is a surprising scarcity of published literature on the frequency of its application.
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    4. Optical coherence tomography (OCT) in unconscious and systemically unwell patients using a mobile OCT device: a pilot study

      Optical coherence tomography (OCT) in unconscious and systemically unwell patients using a mobile OCT device: a pilot study
      Objective This study aims to evaluate the feasibility of retinal imaging in critical care using a novel mobile optical coherence tomography (OCT) device. The Heidelberg SPECTRALIS FLEX module (Heidelberg Engineering, Heidelberg, Germany) is an OCT unit with a boom arm, enabling ocular OCT assessment in less mobile patients. Design We undertook an evaluation of the feasibility of using the SPECTRALIS FLEX for undertaking ocular OCT images in unconscious and critically ...
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    5. Pearse Keane Q&A: how open access AI is bringing ophthalmology into focus

      Pearse Keane Q&A: how open access AI is bringing ophthalmology into focus
      Since 2016, Moorfields Eye Hospital in London has been working with DeepMind, one of the worlds leading artificial intelligence companies. Through the partnership, researchers hope to use over one million anonymised retinal images to train artificial intelligence (AI) in the automated diagnosis of optical coherence tomography (OCT) images. OCT images are extremely complex and can take clinicians a long time to analyse, which can impact how quickly patients can receive ...
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    6. Objective evaluation of proliferative diabetic retinopathy using optical coherence tomography

      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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    7. OCT Angiography in Acute Posterior Multifocal Placoid Pigment Epitheliopathy

      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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    8. 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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    9. 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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    10. 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
    11. 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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    12. 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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    13. 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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    14. 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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    15. 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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    16. 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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  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.