Artificial Intelligence to Assess Tracheal Tubes and Central Venous Catheters in Chest Radiographs Using an Algorithmic Approach With Adjustable Positioning Definitions.

Rueckel, Johannes; Huemmer, Christian; Shahidi, Casra; Buizza, Giulia; Hoppe, Boj Friedrich; Liebig, Thomas; Ricke, Jens; Rudolph, Jan; Sabel, Bastian Oliver

Rueckel, Johannes; Huemmer, Christian; Shahidi, Casra; Buizza, Giulia; Hoppe, Boj Friedrich; Liebig, Thomas; Ricke, Jens; Rudolph, Jan; Sabel, Bastian Oliver.

Afiliación

Rueckel J; From the Department of Radiology, University Hospital, LMU Munich, Munich, Germany (J.Rueckel, C.S., B.F.H., J.Ricke, J.Rudolph, B.O.S.); Institute of Neuroradiology, University Hospital, LMU Munich, Munich, Germany (J.Rueckel, T.L.); and XP Technology and Innovation, Siemens Healthcare GmbH, Forchheim, Germany (C.H., G.B.).

Invest Radiol ; 59(4): 306-313, 2024 Apr 01.

Article en En | MEDLINE | ID: mdl-37682731

Asunto(s)

Cateterismo Venoso Central; Catéteres Venosos Centrales; Humanos; Cateterismo Venoso Central/métodos; Inteligencia Artificial; Radiografía; Radiografía Torácica/métodos

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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Cateterismo Venoso Central / Catéteres Venosos Centrales Límite: Humans Idioma: En Revista: Invest Radiol Año: 2024 Tipo del documento: Article

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