Assessing the Performance of Models from the 2022 RSNA Cervical Spine Fracture Detection Competition at a Level I Trauma Center

Purpose To evaluate the performance of the top models from the RSNA 2022 Cervical Spine Fracture Detection challenge on a clinical test dataset of both noncontrast and contrast-enhanced CT scans acquired at a level I trauma center. Materials and Methods Seven top-performing models in the RSNA 2022 C...

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Veröffentlicht in:	Radiology. Artificial intelligence 2024-11, Vol.6 (6), p.e230550
Hauptverfasser:	Hu, Zixuan, Patel, Markand, Ball, Robyn L, Lin, Hui Ming, Prevedello, Luciano M, Naseri, Mitra, Mathur, Shobhit, Moreland, Robert, Wilson, Jefferson, Witiw, Christopher, Yeom, Kristen W, Ha, Qishen, Hanley, Darragh, Seferbekov, Selim, Chen, Hao, Singer, Philipp, Henkel, Christof, Pfeiffer, Pascal, Pan, Ian, Sheoran, Harshit, Li, Wuqi, Flanders, Adam E, Kitamura, Felipe C, Richards, Tyler, Talbott, Jason, Sejdić, Ervin, Colak, Errol
Format:	Artikel
Sprache:	eng
Schlagworte:	Adult Cervical Vertebrae - diagnostic imaging Cervical Vertebrae - injuries Contrast Media Female Humans Male Middle Aged Original Research Retrospective Studies Sensitivity and Specificity Spinal Fractures - diagnosis Spinal Fractures - diagnostic imaging Tomography, X-Ray Computed - methods Trauma Centers
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