Systematic review and meta-analysis demonstrates AI's effectiveness in detecting cataracts, suggesting improved diagnosis accuracy.
Background: Cataracts are a leading cause of blindness and visual impairment worldwide, affecting millions of people. Early detection and accurate grading of cataracts are critical for timely intervention and improving patient outcomes. Artificial intelligence (AI), particularly deep learning, has emerged as a powerful tool for automating the detection and grading of cataracts using color fundus photographs.
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Wahyu et al. (2026) studied this question.
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