US researchers have developed an artificial intelligence-based tool that helps identify the likelihood of individuals involved in accidents developing post-traumatic stress disorder (PTSD) by analyzing their verbal account of the incident and their emotions during the initial moments upon arriving at the hospital.
For his part, the US medical news website 'Medical Xpress' reported today that a research team from the Langone Health Center at New York University created a program named 'Previa'. It listens to the patient's description of the accident and analyzes the words and phrases used to express their experience, aiming to identify early indicators of severe psychological stress.
It noted that the study results, published in the scientific journal 'Nature Communications', showed that the tool outperformed traditional psychological assessment methods used in this field. The program relies on multi-level linguistic analysis that monitors patient expressions potentially indicating psychological stress, such as feelings of losing control or experiencing trauma, then integrates these indicators with baseline information about the patient, such as age and social circumstances, to estimate the risk level and help doctors identify patients who need early psychological follow-up.
It added that this technology highlights its importance amid the significant pressure experienced by emergency departments in the United States, which receive approximately 43 million patients annually due to various physical injuries, with more than a quarter of them later developing PTSD. Meanwhile, the percentage of hospitals conducting early psychological assessments does not exceed 28 percent, due to department overcrowding and work pressure.
Source: Syrian Arab News Agency (SANA)
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