Evaluation of the effectiveness of artificial intelligence for ultrasound guided peripheral nerve and plane blocks in recognizing anatomical structures.

Journal: Annals of anatomy = Anatomischer Anzeiger : official organ of the Anatomische Gesellschaft
PMID: 37572764

Abstract

BACKGROUND: We aimed to assess the accuracy of artificial intelligence (AI) based real-time anatomy identification for ultrasound-guided peripheral nerve and plane block in eight regions in this prospective observational study.

Authors

  • İrfan Güngör
    Department of Anaesthesiology and Reanimation, Gazi University Faculty of Medicine, Ankara, Turkey.
  • Berrin Gunaydin
    Department of Anesthesiology and Reanimation, Gazi University Faculty of Medicine, Besevler, 06500, Ankara, Turkey. gunaydin@gazi.edu.tr.
  • Beyza M Buyukgebiz Yeşil
    Gazi University Faculty of Medicine, Department of Anesthesiology & Reanimation, Ankara, Besevler 06500, Turkey.
  • Selin Bagcaz
    Department of Anesthesiology and Reanimation, Gazi University Faculty of Medicine, Besevler, 06500, Ankara, Turkey.
  • Miray Gozde Ozdemir
    Department of Anesthesiology and Reanimation, Gazi University Faculty of Medicine, Besevler, 06500, Ankara, Turkey.
  • Gozde Inan
    Department of Anesthesiology and Reanimation, Gazi University Faculty of Medicine, Besevler, 06500, Ankara, Turkey.
  • Suna O Oktar
    Department of Radiology, Gazi University Faculty of Medicine, Ankara, Turkey.

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