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USO DA INTELIGÊNCIA ARTIFICIAL COMO ABORDAGEM NA DETECÇÃO PRECOCE DE RETINOPATIA DIABÉTICA E GLAUCOMA

Doi: 10.47094/CESMED.2025/66

PALAVRAS CHAVE: Glaucoma. Inteligência Artificial. Rastreamento. Retinopatia Diabética.

KEYWORDS: Glaucoma. Artificial Intelligence. Screening. Diabetic Retinopathy.

ABSTRACT:
INTRODUCTION: Diabetic retinopathy (DR) and glaucoma are leading causes of irreversible blindness worldwide, and early detection is essential for preventing vision loss. Therefore, one low-cost way to screen the population is through artificial intelligence (AI) systems, which can analyze retinal images with high precision and identify early signs of the disease remotely. OBJECTIVES: To evaluate the role of artificial intelligence (AI) in the early detection of complex ophthalmological conditions, such as glaucoma and diabetic retinopathy (DR).

Autores

  • Camila Campos de Oliveira

  • Isadora Moulin Lima Rezende de Castro

  • Marcos Vinícius Milki

  • Sofia Reis de Oliveira Crispim

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