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AI predicts PTSD risk based on stories about what brought patients to the emergency room

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AI predicts PTSD risk based on stories about what brought patients to the emergency room

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An AI tool can analyze patients' narratives about injuries that sent them to the emergency room to predict who will later develop posttraumatic stress disorder (PTSD), a new study found.

About 43 million patients are admitted to a U.S. emergency department (ED) each year with physical injuries (trauma), and more than a quarter of them develop PTSD, according to past studies. That makes the ED a checkpoint for catching the condition early, but clinicians face time constraints severe enough to rule out the use of standard screening questionnaires.

Led by NYU Langone Health researchers, the new study found that the team's set of AI models—each analyzing the trauma narratives of 145 ED patients—correctly identified more than 95.4% of at-risk patients. In a head-to-head test, the AI tool, called PREVIA, flagged 100% of 30 cases from the same patient group that went on to develop PTSD, while an ED clinician specializing in PTSD correctly identified 89% of these cases.

, associate professor in the departments of psychiatry and population health at NYU Langone.



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