AI model has potential to detect risk of childbirth-related post-traumatic stress disorder
Researchers have adapted an artificial intelligence (AI) program to identify signs of childbirth-related post-traumatic stress disorder (CB-PTSD) by evaluating short narrative statements of patients who have given birth. The program successfully identified a large proportion of participants likely to have the disorder, and with further refinements—such as details from medical records and birth experience data from diverse populations—the model could potentially identify a large percentage of those at risk. The study, which was funded by the National Institutes of Health, appears in Scientific Reports. Worldwide, CB-PTSD affects about 8 million people who give birth each year, and current practice for diagnosing CB-PTSD requires a physician evaluation, which is time-consuming and costly. An effective screening method has the potential to rapidly and inexpensively identify large numbers of postpartum patients who could benefit from diagnosis and treatment. Untreated CB-PTSD may interfere with…
