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Background: Detecting kidney trauma on CT scans can be challenging and is sometimes overlooked. While deep learning (DL) has shown promise in medical imaging, its application to kidney injuries remains underexplored. This study aims to develop and validate a DL algorithm for detecting kidney trauma, using institutional trauma data and the Radiological Society of North America (RSNA) dataset for external validation.

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Purpose: Involving patients in developing patient-reported outcome measures (PROMs) is essential for accurately capturing their perspectives. However, understanding how patients were involved in developing PROMs used after hip or knee arthroplasty is limited. This scoping review aimed to evaluate whether patients were involved in the development of these PROMs and how they were involved.

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Purpose: Individuals with metastatic breast cancer (MBC) may live with their disease for many years. We initiated the Johns Hopkins Hope at Hopkins Clinic to assess the needs and optimize the care of these patients.

Patients And Methods: Patients with MBC who agreed to participate in the Clinic in addition to usual care completed patient-reported outcome (PRO) surveys.

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The objective was to examine differences in the gait-specific cognitive representation structures between individuals after total knee- (TKA) and after total hip-joint arthroplasty (THA). The cognitive representation structure was compared between three groups: 1. three months after TKA (n = 12), 2.

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Purpose Of The Review: In the United States, spinal cord injuries affect approximately 18,000 individuals annually, most commonly resulting from mechanical trauma. The consequent paraplegia severely impairs motor functions, creating an urgent need for innovative therapeutic strategies that extend beyond traditional rehabilitation and pharmacotherapy. This review assesses the effectiveness of Spinal Cord Stimulation (SCS) in improving motor function in patients with spinal cord injuries, with a particular focus on paraplegia.

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