000088474 001__ 88474
000088474 005__ 20210210112833.0
000088474 0247_ $$2doi$$a10.1136/bmjopen-2019-033139
000088474 0248_ $$2sideral$$a117127
000088474 037__ $$aART-2019-117127
000088474 041__ $$aeng
000088474 100__ $$0(orcid)0000-0002-1777-0349$$aPueyo, Victoria$$uUniversidad de Zaragoza
000088474 245__ $$aDevelopment of a system based on artificial intelligence to identify visual problems in children: study protocol of the TrackAI project
000088474 260__ $$c2019
000088474 5060_ $$aAccess copy available to the general public$$fUnrestricted
000088474 5203_ $$aIntroduction Around 70% to 80% of the 19 million visually disabled children in the world are due to a preventable or curable disease, if detected early enough. Vision screening in childhood is an evidence-based and cost-effective way to detect visual disorders. However, current screening programmes face several limitations: training required to perform them efficiently, lack of accurate screening tools and poor collaboration from young children.
Some of these limitations can be overcome by new digital tools. Implementing a system based on artificial intelligence systems avoid the challenge of interpreting visual outcomes.
The objective of the TrackAI Project is to develop a system to identify children with visual disorders. The system will have two main components: a novel visual test implemented in a digital device, DIVE (Device for an Integral Visual Examination); and artificial intelligence algorithms that will run on a smartphone to analyse automatically the visual data gathered by DIVE.
Methods and analysis This is a multicentre study, with at least five centres located in five geographically diverse study sites participating in the recruitment, covering Europe, USA and Asia.
The study will include children aged between 6 months and 14 years, both with normal or abnormal visual development.
The project will be divided in two consecutive phases: design and training of an artificial intelligence (AI) algorithm to identify visual problems, and system development and validation. The study protocol will consist of a comprehensive ophthalmological examination, performed by an experienced paediatric ophthalmologist, and an exam of the visual function using a DIVE.
For the first part of the study, diagnostic labels will be given to each DIVE exam to train the neural network. For the validation, diagnosis provided by ophthalmologists will be compared with AI system outcomes.
Ethics and dissemination The study will be conducted in accordance with the principles of Good Clinical Practice. This protocol was approved by the Clinical Research Ethics Committee of Aragón, CEICA, on January 2019 (Code PI18/346).
Results will be published in peer-reviewed journals and disseminated in scientific meetings.
000088474 540__ $$9info:eu-repo/semantics/openAccess$$aby-nc$$uhttp://creativecommons.org/licenses/by-nc/3.0/es/
000088474 590__ $$a2.496$$b2019
000088474 591__ $$aMEDICINE, GENERAL & INTERNAL$$b52 / 165 = 0.315$$c2019$$dQ2$$eT1
000088474 592__ $$a1.247$$b2019
000088474 593__ $$aMedicine (miscellaneous)$$c2019$$dQ1
000088474 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000088474 700__ $$aPérez-Roche, Teresa
000088474 700__ $$aPrieto, Esther
000088474 700__ $$aCastillo, Olimpia
000088474 700__ $$aGonzalez, Inmaculada
000088474 700__ $$aAlejandre, Adrian$$uUniversidad de Zaragoza
000088474 700__ $$aPan, Xian
000088474 700__ $$0(orcid)0000-0003-4418-7703$$aFanlo-Zarazaga, Alvaro$$uUniversidad de Zaragoza
000088474 700__ $$aPinilla, Juan
000088474 700__ $$aEchevarria, Jose
000088474 700__ $$0(orcid)0000-0002-7503-7022$$aGutierrez, Diego$$uUniversidad de Zaragoza
000088474 700__ $$0(orcid)0000-0002-0261-1089$$aAltemir, Irene$$uUniversidad de Zaragoza
000088474 700__ $$0(orcid)0000-0003-2797-5011$$aRomero-Sanz, Maria
000088474 700__ $$aCipres, Marta
000088474 700__ $$0(orcid)0000-0003-3161-3793$$aOrtin, Marta$$uUniversidad de Zaragoza
000088474 700__ $$0(orcid)0000-0003-0060-7278$$aMasia, Belen$$uUniversidad de Zaragoza
000088474 7102_ $$11004$$2646$$aUniversidad de Zaragoza$$bDpto. Cirugía,Ginecol.Obstetr.$$cÁrea Oftalmología
000088474 7102_ $$12002$$2647$$aUniversidad de Zaragoza$$bDpto. Física Aplicada$$cÁrea Óptica
000088474 7102_ $$15007$$2570$$aUniversidad de Zaragoza$$bDpto. Informát.Ingenie.Sistms.$$cÁrea Lenguajes y Sistemas Inf.
000088474 773__ $$g10, 2 (2019), 033139 [7 pp.]$$pBMJ Open$$tBMJ open$$x2044-6055
000088474 8564_ $$s856258$$uhttps://zaguan.unizar.es/record/88474/files/texto_completo.pdf$$yVersión publicada
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000088474 951__ $$a2021-02-10-11:16:04
000088474 980__ $$aARTICLE