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January 27, 2026International Ophthalmology

Vitreoretinal disease detection using artificial intelligence: a systematic review and meta-analysis

Zahra Heidari Masoud Mirghorbani Mahdi Abounoori Kiana Ebrahimibesheli Mohammad Tabarestani Mehdi Khabazkhoob Siamak Yousefi Bobeck S. Modjtahedi

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Key Points

AI effectively detects vitreoretinal diseases, improving diagnostic accuracy and patient outcomes.
The meta-analysis showed a sensitivity of 90% in detecting these conditions, enhancing early diagnosis and treatment.
Systematic review and meta-analysis assessed multiple AI algorithms, showing substantial improvements in detection rates.
Highlights the potential of AI to transform vitreoretinal disease identification, indicating a need for widespread implementation.

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Implication

Systematic review and meta-analysis demonstrate AI's effectiveness for detecting vitreoretinal diseases.

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Cite This Study

Heidari et al. (2026) studied this question.

synapsesocial.com/papers/69a75b77c6e9836116a22ceb https://doi.org/10.1007/s10792-026-03960-9

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