Peripheral changes secondary to proliferative sickle retinopathy were associated with thinning of macular inner retinal layers and thickening of central fovea.
diabetic retinopathy remains the mainly cause of blindness worldwide and its diagnoses and assessment is poorer as the countryside the patient is. To minimize de boundaries of health care and improve the accuracy how the treatment is stablished, the artificial intelligence (AI) techniques have been studied years ago using fundus phothographies for instance. This scoping review aims to study these AI techniques applied in Opctical Coherence Tomography (OCT) images.
Methods: This scoping review will follow the methodology framework defined in Scoping studies: advancing the methodology. In this methodological framework, six stages are proposed for scoping review
studies: identifying the research question; identifying relevant studies; study selection; charting the data; collating, summarizing, and reporting the results; and consultation. The research questions aim to investigate what are the methods, and techniques used in artificial intelligence due to perfmorm a clinical diagnostic using OCT scanners. The team will focus on the Scopus Document Search e PubMed (Medline). The search query is a combination of terms related to Diabetic Retinopathy AND Artificial Intelligence.
Ethics and Dissemination: This is a scoping review study and there is no requirement for ethical approval, as primary data will not be collected. The results from this scoping review will be published in a peer
reviewed journal and reported at scientific meetings.
We intend to share the results with the Ophthalmologists.
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