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Diabetic macular thickness diagnostic guideded by optical coherence tomography using artificial intelligence methods: a scoping review protocol

BRASILEIRO, F.

2020-10-20 medical education
10.1101/2020.10.17.20214288 medRxiv
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Introductiondiabetic 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. MethodsThis 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 Studiesidentifying 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 DisseminationThis 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. ARTICLE SUMMARYO_ST_ABSStrengths and Limitations of this studyC_ST_ABSThis protocol uses a comprehensive approach, relating one research question, that will enable the identification of the main gaps and opportunities in the area; O_LIDue to the comprehensiveness of this review protocol, it can serve as the basis for future works, with more specific scope, and the proposal of standards; C_LIO_LIThe investigation of who are the mainly artificial intelligence skills will allow other researchs in this area; C_LIO_LIThe inclusion of aspects of data governance in the protocol will serve as the basis for establishing an assessment model of artificial intelligence and diabetic macular thickness; C_LIO_LIOne weakness of this review protocol was the number of the studies including glaucoma in their criterias. C_LI

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