AI: A new French algorithm inspired by GPT improves trauma surveillance

(Image: Pixabay CC0) - In France, one third of emergency room visits are due to trauma. In order to better understand their mechanisms and improve their management, researchers from Inserm and the University of Bordeaux at the Bordeaux Population Health research center, together with teams from the Bordeaux University Hospital, have developed an algorithm capable of classifying emergency room visits due to trauma by analyzing clinical reports through artificial intelligence (GPT). The performance of this project, named TARPON , which reaches 97% accuracy, has been published in the Journal of Medical Internet Research Artificial Intelligence . The results suggest that a national trauma observatory will soon be set up. Trauma accounts for 9% of mortality in France and often affects young people. More than a third of the 21 million visits to emergency rooms each year are due to trauma. It is therefore a major public health problem that represents a significant health, societal and economic burden, to which scientists are working to provide solutions.