The incidence of proximal humeral trauma continues to rise. Treatment of complex proximal humeral trauma remains challenging and controversial. So far, classification of humeral fractures is an unsatisfactory process. In this paper we explore how we make decisions in this unique setting and present early results of using Markov Chain Monte Carlo modeling to assess concepts in surgical pattern recognition.
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