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

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.