2026-06-102026-06-102026-02-03BISPO, Fernanda Santos Gonçalves. Estratégias de rastreamento e prevenção da cegueira por retinopatia diabética: uma revisão narrativa. Orientadora: Tracy Martina Marques Martins. 2026. 31 f. Trabalho de Curso (Bacharelado em Medicina) - Faculdade de Medicina, Campus Universitário de Altamira, Universidade Federal do Pará, Altamira, 2026. Disponível em: https://bdm.ufpa.br/handle/prefix/9594. Acesso em:.https://bdm.ufpa.br/handle/prefix/9594Diabetic retinopathy is a leading cause of preventable blindness worldwide, rendering the strengthening of screening within Primary Health Care (PHC) imperative. This study analyzed the efficacy of various screening strategies, ranging from direct fundoscopy to the use of teleophthalmology and artificial intelligence (AI). Results indicate that diagnostic decentralization, supported by portable technologies and machine learning algorithms, demonstrates high accuracy and cost-effectiveness, significantly reducing unnecessary referrals and waiting lists. However, technical implementation faces critical barriers, such as infrastructure limitations, a shortage of trained professionals, and low patient health literacy, factors that compromise adherence to preventive programs. Future perspectives point toward the consolidation of automated diagnostic systems and clinical data integration, though this requires logistical support to ensure access to treatment. It is concluded that the convergence of technological innovation and humanized active search processes within PHC is the fundamental strategy to democratize access to eye health and prevent irreversible vision loss.Acesso AbertoRetinopatia diabéticaAtenção primária à saúdeInteligência artificialDiabetic retinopathyPrimary health careArtificial intelligenceCNPQ::CIENCIAS DA SAUDE::MEDICINA::CLINICA MEDICA::OFTALMOLOGIATrabalho de Curso - Graduação - Monografia