Build your own all-virtual multidisciplinary kidney stone clinic.

Background: With the dramatic rise of telemedicine in the post coronavirus disease 2019 (COVID-19) pandemic, our objective was to develop a totally virtual multidisciplinary kidney stone clinic and assess patient satisfaction of this format.

Methods: The virtual multidisciplinary stone clinic began July 2021 and continued monthly. Prior to the beginning of each clinic, providers from the urology, nephrology, and dietitian teams meet virtually to discuss the patients.

Skills on wheels: caregiver perspectives on the design and long-term impact of a pediatric wheelchair Skills training program.

Manual wheelchair skills training programs are novel developments, particularly in the United States. As perceived by the caregivers of participants, this study aimed to examine the long-term impact of the Skills on Wheels program on participants' occupational engagement and quality of life at home, at school, and in the community. Secondly, this study investigated the caregivers' perspectives of the program design of Skills on Wheels.

Wheeled mobility use outcomes: a systematic review protocol of measurement properties.

Introduction: Numerous tools have been developed to measure constructs related to wheelchair use. Currently, no toolkit comprehensively details assessments of wheeled mobility device use based on the quality of their measurement properties. The current review aims to systematically identify high-quality assessment tools that measure different aspects of wheeled mobility use.

Using ChatGPT-4 to Analyze 24-Hour Urine Results and Generate Custom Dietary Recommendations for Nephrolithiasis.

The increasing incidence of nephrolithiasis underscores the need for effective, accessible tools to aid urologists in preventing recurrence. Despite dietary modification's crucial role in prevention, targeted dietary counseling using 24-hour urine collections is underutilized. This study evaluates ChatGPT-4, a multimodal large language model, in analyzing urine collection results and providing custom dietary advice, exploring the potential for artificial intelligence-assisted analysis and counseling.

Analysis of driver behavior at grade-separated intersections to support design.

Understanding driver behaviors in varied traffic scenarios is critical to the design of safe and efficient roadways and traffic control device. This research presents an analysis of driver cognitive workload, situation awareness (SA) and performance for three different scenarios, including a standard intersection and contraflow grade-separated intersections (C-GSI) and quadrant GSI (Q-GSI) with lane assignment sign manipulations. The study used a simulator-based driving experiment with application of the NASA Task Load Index and Situation Awareness Global Assessment Technique to assess the influence of the scenarios on driver behavioral responses.