Artificial Intelligence Diagnoses Adverse Childhood Experiences [HealthITAnalytics.com]
By Jessica Kent Health IT Analytics An explainable artificial intelligence platform that analyzes data captured during in-person consultations may enhance diagnosis and treatment of adverse childhood experiences (ACEs), according to a study published in JMIR – Medical Informatics . ACEs are negative events and processes that an individual might encounter during childhood or adolescence. These events have been proven to be linked to increased risk of a range of negative health outcomes and...