LAUSR

Key Points Question Can newborn cry acoustics serve as an objective biobehavioral marker of neonatal opioid withdrawal syndrome (NOWS)? Findings In this cohort study of 65 neonates with and without exposure to opioids, supervised machine learning methods identified a set of cry acoustic parameters that accurately predicted which infants received pharmacological treatment for NOWS, with an area under the curve of 0.90, accuracy of 0.85, sensitivity of 0.89, and specificity of 0.83. Meaning These results suggest that acoustic cry analysis using machine learning has potential as a measure of opioid withdrawal in neonates.