J Trauma
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One hundred hemodynamically stable patients with penetrating abdominal trauma (65, stab wounds, 35, gunshot wounds) were evaluated with laparoscopy. Sixty percent of the patients had wounds in the thoracoabdominal area or the upper abdominal quadrants and 25% had injuries located in the lower abdomen and flanks. Fifteen percent had epigastric wounds. ⋯ The major role of laparoscopy in penetrating abdominal trauma is in avoiding unnecessary laparotomy in tangential SWs and GSWs. It is excellent for evaluating the diaphragm in thoracoabdominal wounds. Caution is urged in excluding hollow viscus injuries based on laparoscopy.
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This study examined the application of an artificial intelligence technique, the neural network (NET), in predicting probability of survival (Ps) for patients with penetrating trauma. A NET is a computer construct that can detect complex patterns within a data set. A NET must be "trained" by supplying a series of input patterns and the corresponding expected output (e.g., survival). ⋯ The increased sensitivity was statistically significant by Chi-square analysis. The NET for penetrating trauma provided a more sensitive but less specific technique for calculating Ps than did either TRISS or ASCOT. This translated into a 40% reduction in the number of deaths requiring review, and the potential for more efficient use of quality assurance resources.