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AI program helps identify signs of childbirth-related PTSD

AI program helps identify signs of childbirth-related PTSD


Researchers applied an artificial intelligence (AI) program to identify signs of birth-related post-traumatic stress disorder (CB-PTSD) by evaluating short narratives from patients who had given birth. The program was successful in identifying a large proportion of participants who were likely to suffer from the disorder, and with further refinements including medical record details and birth experience data from a diverse population, the model It is possible to identify a large proportion of potentially at-risk participants. This research was funded by the National Institutes of Health. scientific report.

Approximately 8 million births worldwide each year suffer from CB-PTSD, and current diagnosis of CB-PTSD requires a doctor's evaluation, which is time-consuming and expensive. Effective screening methods have the potential to quickly and inexpensively identify large numbers of postpartum patients who may benefit from diagnosis and treatment. Untreated CB-PTSD can interfere with breastfeeding, bonding with an infant, and desire for future pregnancies. It can also worsen the mother's depression and lead to suicidal thoughts and behavior.

Researchers administered the CB-PTSD Checklist to 1,295 postpartum women. This is a questionnaire designed to screen for this disorder. Participants also provided short stories of approximately 30 words about their birth experiences. The researchers then trained an AI model to analyze a subset of the stories of patients whose CB-PTSD symptoms tested high on a questionnaire. We then used this model to analyze different subsets of narratives for evidence of CB-PTSD. Overall, the model accurately identified stories of participants who were likely to suffer from CB-PTSD because they scored high on the questionnaire.

The authors believe that their research could ultimately make the diagnosis of postnatal traumatic stress disorder more accessible and provide a means to compensate for past socioeconomic, racial, and ethnic disparities. I believe that there is a possibility that

The study was conducted by Dr. Alon Bartal of Bar Ilan University in Israel and led by senior author Dr. Sharon Dekel of Massachusetts General Hospital and Harvard Medical School in Boston.Funding was provided by the NIH Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD).


Reference magazines:

Bartal, A. other. (2024). AI and narrative embedding detect her postnatal PTSD through the birth story. scientific report.




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