Sex differences in variables affecting short-term success in substance use disorder treatment.

Because of the stigma surrounding patients with substance use disorder (SUD) and difficulties with follow-up, data on outcomes is limited. We explore real-world data from a prospectively collected database to determine characteristics that contribute to the completion of acute treatment. Our cohort consisted of data from 1039 patients treated at a single facility.

Machine Learning in Spinal Cord Stimulation for Chronic Pain.

Spinal cord stimulation (SCS) is an effective treatment for chronic neuropathic pain. The success of SCS is dependent on candidate selection, response to trialing, and programming optimization. Owing to the subjective nature of these variables, machine learning (ML) offers a powerful tool to augment these processes.