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Importance: There have been limited evaluations of the patients treated at academic and community hospitals. Understanding differences between academic and community hospitals has relevance for the design of clinical models of care, remuneration for clinical services, and health professional training programs.

Objective: To evaluate differences in complexity and clinical outcomes between patients admitted to general medical wards at academic and community hospitals.

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Aim: Calcium silicate-based cements have been widely used in dentistry mainly due to their physicochemical and biological properties. Commercially available materials use radiopacifiers containing metals (bismuth, tantalum, tungsten and/or zirconium). To investigate volumetric changes, in vivo biocompatibility and systemic migration from eight commercially available materials, including powder/liquid and 'ready-to-use' presentations.

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Introduction: As a result of increased incidence of anterior cruciate ligament (ACL) injury in young athletes, there is a rise in the indications surgical ACL reconstruction procedures. The value of anterolateral ligament (ALL) reconstruction emerges as a proposed solution to prevent graft failures and improve stability in this high demanding category of patients. The purpose of this study is to present our experience with a novel hamstring auto-grafting technique, the single antegrade sling graft (SASG), for combined reconstruction of both ACL and ALL using autologous gracilis (GR) and semitendinosus (ST) grafts utilizing a single femoral tunnel and double tibial tunnels.

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Objective: The objectives of this study are to synthesize findings from recent research of retrieval-augmented generation (RAG) and large language models (LLMs) in biomedicine and provide clinical development guidelines to improve effectiveness.

Materials And Methods: We conducted a systematic literature review and a meta-analysis. The report was created in adherence to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses 2020 analysis.

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Objective: To evaluate the feasibility of utilizing artificial intelligence (AI)-predicted biparametric MRI (bpMRI) image features for predicting the aggressiveness of prostate cancer (PCa).

Materials And Methods: A total of 878 PCa patients from 4 hospitals were retrospectively collected, all of whom had pathological results after radical prostatectomy (RP). A pre-trained AI algorithm was used to select suspected PCa lesions and extract lesion features for model development.

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