Publications by authors named "Allison Huff MacPherson"
Article Synopsis
- Depression is widespread and often goes undiagnosed, but AI models utilizing spoken responses to interviews may provide a better screening method.
- In a study involving 393 diverse adults using the Aiberry app, researchers validated an AI model's predictions of depression severity against self-reported scores and found strong agreement.
- The AI showed no bias related to age, sex, race, or ethnicity, although access limitations and self-selection among participants could affect the study's generalizability.
Background: Historically marginalized youth are at risk for daily substance use. Daily use may be associated with social and environmental factors.
Methods: In March 2018, we surveyed primarily Latino adolescents ages 14-18 who lived on the US-Mexico border and assessed associations between daily substance use, neighborhood stress, border community and immigration stress, and family support.
Introduction: Over the past two decades the national prevalence of opioid use disorder (OUD) during pregnancy has increased more than 600%. Managing recovery from OUD during the postpartum period can be particularly challenging. Thus, we sought to identify ways to expand perinatal OUD treatment to ultimately reduce risk of postpartum return to opioid misuse.
View Article and Find Full Text PDFBackground: Historically marginalized youth are at risk for daily substance use. Daily use may be associated with social and environmental factors.
Methods: In March 2018, we surveyed primarily Latino adolescents ages 14-18 who lived on the US-Mexico border and assessed associations between daily substance use, neighborhood stress, border community and immigration stress, and family support.