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Predictive Algorithm for Surgery Recommendation in Thoracolumbar Burst Fractures Without Neurological Deficits

Study design Predictive algorithm via decision tree Objectives Artificial intelligence (AI) remain an emerging field and have not previously been used to guide therapeutic decision making in thoracolumbar burst fractures. Building such models may reduce the variability in treatment recommendations....

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Principais autores: Charlotte Dandurand MD, MSc, Nader Fallah PhD, Cumhur F. Öner MD PhD, Richard J. Bransford MD, Klaus Schnake MD, Alexander R. Vaccaro MD, PhD, MBA, Lorin M. Benneker MD, Emiliano Vialle MD, Gregory D. Schroeder MD, Shanmuganathan Rajasekaran MD, PhD, Mohammad El-Skarkawi MD PhD, Rishi M. Kanna MS, MRCS, FNB, Mohamed Aly MD, PhD, MRCS, Martin Holas MD, Jose A Canseco MD, PhD, Sander Muijs MD, PhD, Eugen Cezar Popescu MD, PhD, Jin Wee Tee BMedSci, MBBS, MD, Gaston Camino-Willhuber MD, Andrei Fernandes Joaquim MD, PhD, Ory Keynan MD, Harvinder Singh Chhabra MD, MBBS, MS, Sebastian Bigdon MD, Ulrich Spiegel MD, Marcel F Dvorak MD, MBA
Formato: Artigo
Idioma:Inglês
Publicado: SAGE Publishing 2024-02-01
Series:Global Spine Journal
Acceso en liña:https://doi.org/10.1177/21925682231203491
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