If left untreated, the condition may interfere with breastfeeding, bonding with the infant, and the desire for a future pregnancy.
CB-PTSD may also worsen maternal depression, leading to a surge in suicidal thoughts and behaviours in women.
The study, appearing in the journal Scientific Reports, showed that AI could successfully identify a large proportion of people with the disorder and a large percentage of those at risk.
The participants also provided short narratives of approximately 30 words about their childbirth experience.
“Overall, the model correctly identified the narratives of participants who were likely to have CB-PTSD because they scored high on the questionnaire,” researchers said.
Globally, CB-PTSD affects about eight million people who give birth each year. Current methods for diagnosing CB-PTSD require a physician evaluation, which is time-consuming and costly.
If left untreated, the condition may interfere with breastfeeding, bonding with the infant, and the desire for a future pregnancy.
CB-PTSD may also worsen maternal depression, leading to a surge in suicidal thoughts and behaviours in women.
The study, appearing in the journal Scientific Reports, showed that AI could successfully identify a large proportion of people with the disorder and a large percentage of those at risk.
The study included 1,295 postpartum participants who were subjected to a questionnaire. The participants also provided short narratives of approximately 30 words about their childbirth experience.
Researchers from the Bar-Ilan University in Israel, Massachusetts General Hospital, and Harvard Medical School in the US trained an AI model to analyse a subset of narratives from patients who also tested high for the CB-PTSD symptoms on the questionnaire.
“Overall, the model correctly identified the narratives of participants who were likely to have CB-PTSD because they scored high on the questionnaire,” researchers said.
