Publications by authors named "P S Ramkumar"

Background: Current reliance on the expedited 510(k) approval pathway has driven rapid commercial availability of novel arthroscopic devices. Despite the low complication rates of arthroscopic procedures, products from this pathway are suspected to increase the rate of recalls and device malfunctions.

Purpose: This study aimed to characterize arthroscopic device recalls, analyze trends in recall incidence, and identify predictors of time to recall.

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Background: There is no foundational classification that 3-dimensionally characterizes arthritic anatomy to preoperatively plan and postoperatively evaluate total knee arthroplasty (TKA). With the advent of computed tomography (CT) as a preoperative planning tool, the purpose of this study was to morphologically classify pre-TKA anatomy across coronal, axial, and sagittal planes to identify outlier phenotypes and establish a foundation for future philosophical, technical, and technological strategies.

Methods: A cross-sectional analysis was conducted using 1,352 pre-TKA lower-extremity CT scans collected from a database at a single multicenter referral center.

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Background: Crohn's disease is characterised by multifaceted changes in gut function, involving not just inflammatory effects but also alterations in gut barrier function and gastric motility. However, current diagnostic tools used to measure key gut functional parameters are invasive, unreliable or time-consuming. Thus, we applied a novel, non-invasive fluorescence sensing technology - transcutaneous fluorescence spectroscopy (TFS) - to investigate gut barrier function and gastric emptying in Crohn's disease.

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Large language model (LLM) research in musculoskeletal medicine is growing rapidly, but much of the literature remains methodologically weak and highly repetitive. To address this, the orthopaedic LLM research community needs a shared benchmarking infrastructure/framework to evaluate models on clinically grounded tasks using fixed-prompt templates and transparent scoring. Drawing on established LLM benchmarking practices, such a framework would enable reproducibility, discourage cherry-picking, and promote meaningful innovation.

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