Publications by authors named "R C Weiss"
Importance: During buprenorphine treatment for opioid use disorder (OUD), risk factors for opioid relapse or treatment dropout include comorbid substance use disorder, anxiety, or residual opioid craving. There is a need for a well-powered trial to evaluate virtually delivered groups, including both mindfulness and evidence-based approaches, to address these comorbidities during buprenorphine treatment.
Objective: To compare the effects of the Mindful Recovery Opioid Use Disorder Care Continuum (M-ROCC) vs active control among adults receiving buprenorphine for OUD.
Hypoxic ischemic encephalopathy (HIE) is a brain injury that occurs in 1 ~ 5/1000 term neonates. Accurate identification and segmentation of HIE-related lesions in neonatal brain magnetic resonance images (MRIs) is the first step toward identifying high-risk patients, understanding neurological symptoms, evaluating treatment effects, and predicting outcomes. We release the first public dataset containing neonatal brain diffusion MRI and expert annotation of lesions from 133 patients diagnosed with HIE.
View Article and Find Full Text PDFIntroduction: We sought to understand the impact of locum tenens surgeons on pediatric surgical care delivery.
Methods: We conducted a cross-sectional survey of Children's Hospital Association pediatric surgical practices. Anonymous electronic surveys were used to investigate locum tenens utilization, primary reason for use, limitations on clinical activities, and variations in practice standards or quality.
Purpose: Investigate the influence of baseline blood pressure (BP) on retinal nerve fiber layer (RNFL) rates of change (RoC) in glaucoma patients with central damage or moderate to severe disease.
Design: Prospective cohort study.
Participants: 110 eyes with ≥4 RNFL optical coherence tomography scans and ≥2 years of follow-up.
Article Synopsis
- Acute kidney injury (AKI) affects a significant number of critically ill patients, with the lack of standardized tools for implementing KDIGO criteria creating challenges for researchers.
- The pyAKI pipeline was developed to address these issues, using the MIMIC-IV database to establish a standardized model for consistent AKI diagnosis.
- Validation tests showed that pyAKI performs better than human annotations, achieving perfect accuracy and offering a valuable resource for clinicians and data scientists in AKI research.