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Background: An effective primary treatment for obsessive-compulsive disorder (OCD) in children and adolescents as well as adults is exposure and response prevention (ERP), a form of intervention in the context of cognitive-behavioral therapy. Despite strong evidence supporting the efficacy and effectiveness of ERP from studies in research and real-world settings, its clinical use remains limited. This underuse is often attributed to access barriers such as the scarcity of properly trained therapists, geographical constraints, and costs.

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Enhancing Diagnostic Accuracy of Lung Nodules in Chest Computed Tomography Using Artificial Intelligence: Retrospective Analysis.

J Med Internet Res

January 2025

Department of Health Policy and Management, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, United States.

Background: Uncertainty in the diagnosis of lung nodules is a challenge for both patients and physicians. Artificial intelligence (AI) systems are increasingly being integrated into medical imaging to assist diagnostic procedures. However, the accuracy of AI systems in identifying and measuring lung nodules on chest computed tomography (CT) scans remains unclear, which requires further evaluation.

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Fracture-related infection (FRI) is a serious orthopaedic complication and its diagnosis, particularly in the upper extremity, is difficult and poorly defined in current literature. An international consensus definition of FRI was published in 2018, and our scoping review aims to investigate FRI diagnostic tools reported in the primary literature and their biostatistical utility. A review of articles generated from the PubMed/NCBI search term "fracture-related infection" was undertaken using PRISMA methodology.

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Metastasis stands as one of the most prominent prognostic factors in osteosarcoma. Over 70% of metastatic osteosarcoma occurrences affect the lung. Nonetheless, to date, there has been a scarcity of research addressing predictive factors for lung metastasis risk in osteosarcoma.

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Background And Objectives: Identifying genetic causes of dementia in patients visiting memory clinics is important for patient care and family planning. Traditional clinical selection criteria for genetic testing may miss carriers of pathogenic variants in dementia-related genes. This study aimed identify how many carriers we are missing and to optimize criteria for selecting patients for genetic counseling in memory clinics.

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