Performance of Deep Learning in Classifying Age-Related Macular Degeneration From Images: Systematic Review and Meta-Analysis - Takeaways - MDSpire

Performance of Deep Learning in Classifying Age-Related Macular Degeneration From Images: Systematic Review and Meta-Analysis

  • By

  • Yu Zhu

  • Yue Niu

  • Shangye Sun

  • Wei Liu

  • Ying Dou

  • Yu Guo

  • June 15, 2026

  • 0 min

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  • 1

    Age-related macular degeneration (AMD) is a major cause of irreversible blindness, with prevalence expected to rise significantly by 2050.

  • 2

    Deep learning algorithms show promise for automating AMD classification but exhibit substantial variability in performance outcomes.

  • 3

    This systematic review directly compares deep learning performance with ophthalmologists, stratified by clinician experience level.

  • 4

    The review evaluates the classification of wet AMD versus dry AMD, addressing clinically critical implications for treatment.

  • 5

    Utilizing the PROBAST+AI tool, the review assesses bias in AI models, enhancing the evaluation of deep learning in AMD diagnostics.

Original Source(s)

Performance of Deep Learning in Classifying Age-Related Macular Degeneration From Images: Systematic Review and Meta-Analysis

  • by Yu Zhu, Yue Niu, Shangye Sun, Wei Liu, Ying Dou, Yu Guo

  • June 15, 2026

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