AI-Based Evaluation of Prostate MR Imaging at a Modern Low-field 0.55 T Scanner Compared to 3 T in a Screening Cohort.

Purpose: To evaluate the effect of lower field strength on quantitative apparent-diffusion-coefficient (ADC) values, contrast of the T2-weighted MR images and the performance of an AI-based segmentation.

Materials And Methods: 25 screening clients (61.6 ± 7.

Volunteer Peer Support for Chronic Pain Self-Management: A Qualitative Study of Benefits and Barriers.

Background: Pain self-management is a key ingredient in chronic pain management. Peer support has been shown to be effective in helping patients self-manage other chronic conditions and may be a promising approach to implementing pain self-management programs more broadly without placing additional demands on clinicians. The Evaluation of a Peer Coach-Led Intervention to Improve Pain Symptoms (ECLIPSE) trial tested peer-supported chronic pain self-management.

Do mindfulness interventions cause harm? Findings from the Learning to Apply Mindfulness to Pain (LAMP) Pragmatic Clinical Trial.

Background: Although mindfulness-based interventions (MBIs) are widely used in clinical and nonclinical settings, there has been little systematic study of their potential risks. To address this gap, we examined differences in psychological and physical worsening among participants in the usual care and intervention conditions of a 3-group, randomized pragmatic trial (Learning to Apply Mindfulness to Pain [LAMP]) that tested the effectiveness of 2 approaches to delivering MBIs to patients with chronic pain.

Methods: The sample consisted of 374 male and 334 female patients with chronic pain enrolled in the LAMP trial who completed a 10-week follow-up survey, 61% of whom had a mental health diagnosis.

Studies of Artificial Intelligence/Machine Learning Registered on ClinicalTrials.gov: Cross-Sectional Study With Temporal Trends, 2010-2023.

Background: The rapid growth of research in artificial intelligence (AI) and machine learning (ML) continues. However, it is unclear whether this growth reflects an increase in desirable study attributes or merely perpetuates the same issues previously raised in the literature.

Objective: This study aims to evaluate temporal trends in AI/ML studies over time and identify variations that are not apparent from aggregated totals at a single point in time.

Health Care Discrimination Affects Patient Activation, Communication Self-Efficacy, and Pain for Black Americans.

This study examines whether a key psychosocial factor-perceiving racial discrimination in health care-is associated with worse patient activation, communication self-efficacy, and physical health outcomes for Black veterans with chronic pain. Moreover, we explore the role of physician-patient working alliance as a moderator that may alleviate the potential consequences of perceiving racial discrimination. This work is a secondary analysis of baseline data from a clinical trial with 250 U.