AI Model Shows Promise in Screening for Post-Traumatic Stress Disorder in New Mothers

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AI Model Shows Promise in Screening for Post-Traumatic Stress Disorder in New Mothers
AIArtificial IntelligenceMassachusetts General Hospital
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A study by Massachusetts General Hospital has found that a generative AI model can accurately screen for post-traumatic stress disorder in women who have recently given birth. The model offers insights into maternal mental health and could be used to assess other mental health disorders.

Apr 12 2024 Massachusetts General Hospital A generative artificial intelligence model that can analyze the narrative accounts of women who have undergone recent childbirth has shown the ability to accurately screen for post-traumatic stress disorder , a study by Massachusetts General Hospital , a founding member of the Mass General Brigham healthcare system has found.

Sharon Dekel, PhD, director of MGH's Postpartum Traumatic Stress Disorders Research Program, and senior author of the study In previous studies, Dekel's lab found evidence that brief psychological interventions delivered soon after traumatic childbirth can reduce maternal childbirth-related PTSD symptoms.

The study focused on an OpenAI model known as text-embeddings-ada-002, which converted narrative data from the personal accounts of women with and without probable CB-PTSD to a numerical format that was then analyzed by a trained machine learning algorithm developed by the team.

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AI Artificial Intelligence Massachusetts General Hospital Post-Traumatic Stress Disorder Childbirth Mental Health

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