Artificial intelligence for X-ray scaphoid fracture detection: a systematic review and diagnostic test accuracy meta-analysis.

Kraus, Matan; Anteby, Roi; Konen, Eli; Eshed, Iris; Klang, Eyal

Kraus, Matan; Anteby, Roi; Konen, Eli; Eshed, Iris; Klang, Eyal.

Affiliation

Kraus M; Department of Diagnostic Imaging, Sheba Medical Center, 2 Sheba Road, 5262000, Ramat Gan, Israel. Matan.Kraus@gmail.com.
Anteby R; Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel. Matan.Kraus@gmail.com.
Konen E; Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel.
Eshed I; Department of General Surgery, Sheba Medical Center, 2 Sheba Road, 5262000, Ramat Gan, Israel.
Klang E; Department of Diagnostic Imaging, Sheba Medical Center, 2 Sheba Road, 5262000, Ramat Gan, Israel.

Eur Radiol ; 34(7): 4341-4351, 2024 Jul.

Article in En | MEDLINE | ID: mdl-38097728

Subject(s)

Artificial Intelligence; Fractures, Bone; Scaphoid Bone; Humans; Scaphoid Bone/injuries; Scaphoid Bone/diagnostic imaging; Fractures, Bone/diagnostic imaging; Sensitivity and Specificity; Radiography/methods

Key words

Deep learning; Machine learning; Scaphoid bone; Wrist fractures

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Artificial Intelligence / Scaphoid Bone / Fractures, Bone Type of study: Systematic_reviews Limits: Humans Language: En Journal: Eur Radiol Journal subject: RADIOLOGIA Year: 2024 Type: Article Affiliation country: Israel

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