Diagnostic test accuracy of artificial intelligence in screening for referable diabetic retinopathy in real-world settings: A systematic review and meta-analysis.

Retrospective studies on artificial intelligence (AI) in screening for diabetic retinopathy (DR) have shown promising results in addressing the mismatch between the capacity to implement DR screening and increasing DR incidence. This review sought to evaluate the diagnostic test accuracy (DTA) of AI...

詳細記述

保存先:
書誌詳細
主要な著者: Holijah Uy (著者), Christopher Fielding (著者), Ameer Hohlfeld (著者), Eleanor Ochodo (著者), Abraham Opare (著者), Elton Mukonda (著者), Deon Minnies (著者), Mark E Engel (著者)
フォーマット: 図書
出版事項: Public Library of Science (PLoS), 2023-01-01T00:00:00Z.
主題:
オンライン・アクセス:Connect to this object online.
タグ: タグ追加
タグなし, このレコードへの初めてのタグを付けませんか!

インターネット

Connect to this object online.

3rd Floor Main Library

予約・返却請求 3rd Floor Main Library
請求記号: A1234.567
所蔵 1 利用可